17.96 GB | 47min 38s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1Welcome Page.mp4 (8.77 MB)
5 Let s install Python together.mp4 (64.77 MB)
6 Google Colab, what s that.mp4 (13.95 MB)
7 Let s leverage chatGPT for help.mp4 (19.04 MB)
8 Introduction to Python.mp4 (18.17 MB)
9 Variables & Keywords.mp4 (73.08 MB)
10 Datatypes Operators.mp4 (69.17 MB)
11 Lists.mp4 (85.75 MB)
12 Tuples.mp4 (77.81 MB)
13 Sets.mp4 (46.8 MB)
14 Dictionary.mp4 (64.81 MB)
15 Loops & Iterations.mp4 (70.78 MB)
16 Functions.mp4 (73.85 MB)
17 Map Reduce Filter.mp4 (92.37 MB)
18 File Handling.mp4 (70.91 MB)
19 Control Structures.mp4 (35.44 MB)
20 OOPs.mp4 (66.14 MB)
21 NumPy.mp4 (104.83 MB)
22 Pandas.mp4 (103.25 MB)
23 Data Visualization.mp4 (22.8 MB)
24 Matplotlib.mp4 (82.36 MB)
25 Seaborn.mp4 (70.37 MB)
27 Introduction.mp4 (21.44 MB)
28 Types of Data (Agenda).mp4 (1.87 MB)
29 Descriptive Stats.mp4 (30.11 MB)
30 Inferential Stats.mp4 (9.91 MB)
31 Qualitative Data.mp4 (31.48 MB)
32 Quantitative Data.mp4 (15.75 MB)
33 Sampling Techniques (Agenda).mp4 (5.13 MB)
34 Population vs Sample.mp4 (13.52 MB)
35 Why Sampling is important.mp4 (12.26 MB)
36 Types of Sampling.mp4 (13.04 MB)
37 Cluster Random Sampling.mp4 (19.15 MB)
38 Probability Sampling.mp4 (29.88 MB)
39 Non probability sampling.mp4 (19.57 MB)
40 Population Sampling.mp4 (30.21 MB)
41 Why n-1 and not n.mp4 (19 MB)
42 Descriptive Analytics (Agenda).mp4 (3.37 MB)
43 Measures of Central Tendency.mp4 (7.44 MB)
44 Mean.mp4 (19.54 MB)
45 Median.mp4 (26.14 MB)
46 Mode.mp4 (17.23 MB)
47 Measures of Dispersion.mp4 (16.03 MB)
48 Range.mp4 (6.04 MB)
49 IQR.mp4 (16.2 MB)
50 Variance Standard Deviation.mp4 (36.54 MB)
51 Mean Deviation.mp4 (15.46 MB)
52 Probability (Agenda).mp4 (3.16 MB)
53 Probability.mp4 (26.28 MB)
54 Addition Rule.mp4 (26.8 MB)
55 Independent Events.mp4 (17.22 MB)
56 Cumulative Probability.mp4 (16.33 MB)
57 Conditional Probability.mp4 (29.19 MB)
58 Bayes Theorem 1.mp4 (7.86 MB)
59 Bayes Theorem 2.mp4 (18.37 MB)
60 Probability Distrubution (Agenda).mp4 (7.32 MB)
61 Uniform Distribution.mp4 (29.14 MB)
62 Binomial Distribution.mp4 (47.15 MB)
63 Poisson Distribution.mp4 (12.81 MB)
64 Normal Distribution Part 1.mp4 (38.87 MB)
65 Normal Distribution Part 2.mp4 (25.62 MB)
66 Skewness.mp4 (17.78 MB)
67 Kurtosis.mp4 (9.6 MB)
68 Calculating Probability with Z-score for Normal Distribution Part 1.mp4 (30.28 MB)
69 Calculating Probability with Z-score for Normal Distribution Part 2.mp4 (17.55 MB)
70 Calculating Probability with Z-score for Normal Distribution Part 3.mp4 (13.09 MB)
71 Covariance & Correlation (Agenda).mp4 (1.56 MB)
72 Covariance.mp4 (42.67 MB)
73 Correlation.mp4 (58.73 MB)
74 Covariance VS Correlation.mp4 (14.92 MB)
75 Hypothesis Testing.mp4 (25.64 MB)
76 Tailed Tests.mp4 (9.61 MB)
77 p-value.mp4 (15.56 MB)
78 Types of Test.mp4 (23.5 MB)
79 T Test.mp4 (27.75 MB)
80 Z Test.mp4 (34.66 MB)
81 Chi Square Test.mp4 (32.96 MB)
82 ANOVA.mp4 (33.34 MB)
83 Correlation Test (Practicals).mp4 (25.38 MB)
85 Agenda.mp4 (9.38 MB)
86 DA,DS Processes.mp4 (20.14 MB)
87 What is EDA.mp4 (11.53 MB)
88 Visualization.mp4 (17.71 MB)
89 Steps involved in EDA (Data Sourcing).mp4 (16.89 MB)
90 Steps involved in EDA (Data Cleaning).mp4 (15.38 MB)
91 Handle Missing Values (Theory).mp4 (23.59 MB)
92 Handle Missing Values (Practicals).mp4 (42.93 MB)
93 Feature Scaling (Theory).mp4 (40.62 MB)
94 Standardization Example.mp4 (15.53 MB)
95 Normalization Example.mp4 (9.2 MB)
96 Feature Scaling (Practicals).mp4 (50.71 MB)
97 Outlier Treatment (Theory).mp4 (34.36 MB)
98 Outlier Treatment (Practicals).mp4 (50.1 MB)
99 Invalid Data.mp4 (17.71 MB)
100 Types of Data.mp4 (8.54 MB)
101 Types of Analysis.mp4 (9.37 MB)
102 Univariate Analysis.mp4 (33.45 MB)
103 Bivariate Analysis.mp4 (19.32 MB)
104 Multivariate Analysis.mp4 (4.12 MB)
105 Numerical Analysis.mp4 (14.46 MB)
106 Analysis Practicals.mp4 (111.15 MB)
107 Derived Metrics.mp4 (16.8 MB)
108 Feature Binning (Theory).mp4 (26.9 MB)
109 Feature Binning (Practicals).mp4 (39.79 MB)
110 Feature Encoding (Theory).mp4 (45.71 MB)
111 Feature Encoding (Practicals).mp4 (58.46 MB)
112 Case Study.mp4 (47.66 MB)
113 Data Exploration.mp4 (52.46 MB)
114 Data Cleaning.mp4 (26.37 MB)
115 Univariate Analysis.mp4 (38.87 MB)
116 Bivariate Analysis Part 1.mp4 (40.79 MB)
117 Bivariate Analysis Part 2.mp4 (23.54 MB)
118 EDA Report.mp4 (16.14 MB)
120 Installation.mp4 (12.58 MB)
121 Data Architecture - File server vs client server.mp4 (27.24 MB)
122 Introduction to SQL.mp4 (35.96 MB)
123 Constraints in SQL.mp4 (59.73 MB)
124 Table Basics - DDLs.mp4 (72.1 MB)
125 Table Basics - DQLs.mp4 (63.03 MB)
126 Table Basics - DMLs.mp4 (87.07 MB)
127 Joins.mp4 (80.62 MB)
128 Data Import Export.mp4 (116.7 MB)
129 Aggregation Functions.mp4 (44.14 MB)
130 String functions.mp4 (61.62 MB)
131 Date Time Functions.mp4 (49.84 MB)
132 Regular Expressions.mp4 (34.15 MB)
133 Nested Queries.mp4 (54.9 MB)
134 Views.mp4 (46.74 MB)
135 Stored Procedures.mp4 (79.45 MB)
136 Windows Function.mp4 (70.25 MB)
137 SQL Python connectivity.mp4 (64.56 MB)
138 Agenda.mp4 (8.88 MB)
139 Introduction to ML.mp4 (17.8 MB)
140 Types of ML.mp4 (67.14 MB)
141 Use Cases Part 1.mp4 (7.83 MB)
142 Use Cases Part 2.mp4 (5.02 MB)
143 Pre-Requisites Features.mp4 (42.9 MB)
144 Pre-Requisites Train-Test Split.mp4 (66.74 MB)
145 Pre-Requisites Feature Scaling.mp4 (40.62 MB)
146 Pre-Requisites Standardization Example.mp4 (15.53 MB)
147 Pre-Requisites Normalization Example.mp4 (9.2 MB)
148 Pre-Requisites Feature Encoding.mp4 (45.74 MB)
149 Pre-Requisites Feature Encoding (Practicals).mp4 (39.59 MB)
150 Regression Introduction to Regression Models.mp4 (21.15 MB)
151 Regression Regression Metrics.mp4 (99.87 MB)
152 Regression Regression Metrics (Practicals).mp4 (66.25 MB)
153 Regression Simple Linear Regression.mp4 (43.35 MB)
154 Regression Multiple Linear Regression.mp4 (40.65 MB)
155 Regression Linear Regression (Practicals).mp4 (81.36 MB)
156 Regression Multiple Linear Regression (Practicals).mp4 (48.97 MB)
157 Regression Polynomial Regression.mp4 (33.98 MB)
158 Regression Polynomial Regression (Practicals).mp4 (82.07 MB)
159 Regression Bias Variance Tradeoff.mp4 (28.26 MB)
160 Regression Ridge Regression.mp4 (45.51 MB)
161 Regression Lasso Regression.mp4 (33.47 MB)
162 Regression Lasso & Ridge Regression (Practicals).mp4 (132.85 MB)
163 Classification Introduction to Classification.mp4 (22.35 MB)
164 Classification Types of Classification.mp4 (19.67 MB)
165 Classification Log Loss.mp4 (48.16 MB)
166 Classification Confusion Matrix.mp4 (47.91 MB)
167 Classification AUC ROC Curve.mp4 (33.99 MB)
168 Classification Classification Report.mp4 (28.38 MB)
169 Classification kNN Classifier.mp4 (40.52 MB)
170 Classification kNN Classifier Example.mp4 (37.97 MB)
171 Classification Practicals Part 1.mp4 (53.35 MB)
172 Classification kNN Classifier (Practicals).mp4 (52.41 MB)
173 Classification Decision Tree.mp4 (33.4 MB)
174 Classification Decision Tree (Entropy based).mp4 (52.59 MB)
175 Classification Decision Tree (gini based).mp4 (62.78 MB)
176 Classification Decision Tree (Practicals).mp4 (29.55 MB)
177 Classification Decision Tree (Visualizing).mp4 (66.93 MB)
178 Classification Random Forest Classifier.mp4 (21.81 MB)
179 Classification Random Forest Classifier (Practicals).mp4 (18.71 MB)
180 Classification Naive Bayes Classifier.mp4 (55.03 MB)
181 Classification SVM Classifier Part 1.mp4 (55.48 MB)
182 Classification SVM Classifier Part 2.mp4 (47.95 MB)
183 Classification Logistic Regression.mp4 (69.83 MB)
184 Classification Practicals so far.mp4 (85.65 MB)
185 Classification Issues in Classification (Part 1).mp4 (30.3 MB)
186 Classification Issues in Classification (Part 2).mp4 (41.5 MB)
187 Classification Project.mp4 (106.29 MB)
188 Ensemble Introduction to Ensemble Learning.mp4 (76.73 MB)
189 Ensemble Bagging.mp4 (46.64 MB)
190 Ensemble Bagging vs Random Forest.mp4 (49.08 MB)
191 Ensemble Bagging (Practicals 1).mp4 (94.85 MB)
192 Ensemble Bagging (Practicals 2).mp4 (65.72 MB)
193 Ensemble Boosting.mp4 (33.8 MB)
194 Ensemble Ada Boost.mp4 (66.96 MB)
195 Ensemble Gradient Boost.mp4 (18.62 MB)
196 Ensemble CF vs LF.mp4 (37.47 MB)
197 Ensemble Cross Entropy.mp4 (19.51 MB)
198 Ensemble Xtreme Gradient Boosting (XGB).mp4 (67.69 MB)
199 Ensemble Project.mp4 (77.54 MB)
200 Clustering Introduction to Clustering.mp4 (61.48 MB)
201 Clustering kMeans Clustering.mp4 (65.92 MB)
202 Clustering kMeans Clustering (Practicals).mp4 (73.26 MB)
203 Clustering Hierarchical Clustering.mp4 (58.06 MB)
204 Clustering Hierarchical Clustering (Practicals).mp4 (51.64 MB)
205 Clustering Mean Shift Clustering.mp4 (41.98 MB)
206 Feature Engineering Introduction.mp4 (49.28 MB)
207 Feature Engineering RFE and SFS.mp4 (20.05 MB)
208 Feature Engineering RFE (Practicals).mp4 (73.25 MB)
209 Feature Engineering Successive Feature Selection.mp4 (71.33 MB)
210 Feature Engineering Chi-Square.mp4 (22.24 MB)
211 Feature Engineering Chi-Square (Practicals).mp4 (23.06 MB)
212 Feature Engineering Principal Component Analysis.mp4 (104.82 MB)
213 Feature Engineering Principal Component Analysis (Practicals).mp4 (38.43 MB)
214 Feature Engineering Linear Discriminant Analysis.mp4 (35.91 MB)
215 Feature Engineering Linear Discriminant Analysis (Practicals).mp4 (34.66 MB)
216 Feature Engineering kPCA & QDA.mp4 (23.48 MB)
217 Feature Engineering kPCA & QDA (Practicals).mp4 (20.91 MB)
218 Hyper Parameter Optimization Basics.mp4 (37.07 MB)
219 Hyper Parameter Optimization Manual HPO.mp4 (22.53 MB)
220 Hyper Parameter Optimization GridSearch vs RandomizedSearch.mp4 (41.13 MB)
221 Hyper Parameter Optimization Manual HPO (Practicals).mp4 (70.26 MB)
222 Hyper Parameter Optimization RandomizedSearchCV (Practicals).mp4 (67.22 MB)
223 Hyper Parameter Optimization GridSearchCV (Practicals).mp4 (30.65 MB)
224 Introduction to TSA.mp4 (14.41 MB)
225 Time Series vs Regression.mp4 (39.45 MB)
226 Time Series Analysis.mp4 (8.99 MB)
227 Anomaly Detection.mp4 (17.02 MB)
228 Components of Time Series.mp4 (33.62 MB)
229 Decomposition.mp4 (6.09 MB)
230 Decomposition (Practicals).mp4 (24.24 MB)
231 AdditiveMultiplicative Decomposition.mp4 (30.53 MB)
232 Stationarity.mp4 (23.54 MB)
233 Testing TS Stationarity.mp4 (25.94 MB)
234 Transformation.mp4 (17.78 MB)
235 Introduction to Pre-Processing.mp4 (13.28 MB)
236 Handle Missing Value.mp4 (23.59 MB)
237 Handle Missing Value (Practicals).mp4 (42.99 MB)
238 Outlier Treatment.mp4 (34.36 MB)
239 3-Sigma Technique.mp4 (50.1 MB)
240 Feature Scaling.mp4 (40.62 MB)
241 Feature Scaling Standardization.mp4 (15.53 MB)
242 Feature Scaling Normalization.mp4 (9.21 MB)
243 Feature Scaling (Practicals).mp4 (50.71 MB)
244 Feature Encoding.mp4 (45.71 MB)
245 Feature Encoding (Practicals).mp4 (39.59 MB)
246 Models - Algorithms.mp4 (4.67 MB)
247 Models - ARIMA Part 1.mp4 (9.76 MB)
248 Models - ARIMA Part 2.mp4 (24.13 MB)
249 Models - AR Theory.mp4 (30.6 MB)
250 Models - MA Theory.mp4 (35.53 MB)
251 Models - ACFPACF Plots.mp4 (37.62 MB)
252 Models - Find p,d,q in ARIMA.mp4 (9.75 MB)
253 Models - ARIMA (Practicals Part 1).mp4 (52.15 MB)
254 Models - ARIMA (Practicals Part 2).mp4 (47.24 MB)
255 Models - ARIMA (Final).mp4 (37.18 MB)
256 Models - Decomposition.mp4 (12.68 MB)
257 Models - ACFPACF.mp4 (13.39 MB)
258 Models - Best Transformation.mp4 (37.81 MB)
259 Models - Grid Search (Part 1).mp4 (32.42 MB)
260 Models - Grid Search (Part 2).mp4 (7.74 MB)
261 Models - Final Model Building.mp4 (40.63 MB)
262 Models - Facebook Prophet (Part 1).mp4 (29.16 MB)
263 Models - Facebook Prophet (Part 2).mp4 (40.7 MB)
264 Models - Facebook Prophet (Part 3).mp4 (22.49 MB)
265 Models - Multi Variate Time Series Analysis.mp4 (24.19 MB)
266 Models - Facebook Prophet (Uni vs Multi).mp4 (49.75 MB)
267 Introduction to Metrics.mp4 (18.29 MB)
268 Forecasting Evaluation Metrics.mp4 (6.8 MB)
269 Mean Squarred Error.mp4 (6.72 MB)
270 Root Mean Squarred Error.mp4 (6.24 MB)
271 Mean Absolute Percentage Error.mp4 (13.63 MB)
272 Project 1 - Energy Forecasting Part 1.mp4 (11.48 MB)
273 Project 1 - Energy Forecasting Part 2.mp4 (23.67 MB)
274 Project 1 - Energy Forecasting Part 3.mp4 (25.99 MB)
275 Project 2 - Stock Market Prediction Part 1.mp4 (17.26 MB)
276 Project 2 - Stock Market Prediction Part 2.mp4 (14.92 MB)
277 Project 2 - Stock Market Prediction Part 3.mp4 (50.71 MB)
278 Project 3 - Demand Forecasting Part 1.mp4 (13.02 MB)
279 Project 3 - Demand Forecasting Part 2.mp4 (49.76 MB)
280 Project 3 - Demand Forecasting Part 3.mp4 (37.23 MB)
281 Project 3 - Demand Forecasting Part 4.mp4 (5.56 MB)
282 Project 3 - Demand Forecasting Part 5.mp4 (55.96 MB)
283 Project 3 - Demand Forecasting Part 6.mp4 (32.45 MB)
285 Introduction to Deep Learning.mp4 (8.35 MB)
286 Understanding Deep Learning.mp4 (21.9 MB)
287 What is a Neuron.mp4 (32.3 MB)
288 Activation Functions.mp4 (19.13 MB)
289 Activation Function Step Function.mp4 (24.95 MB)
290 Activation Function Linear Function.mp4 (49.65 MB)
291 Activation Function Sigmoid Function.mp4 (26.07 MB)
292 Activation Function TanH Function.mp4 (13.13 MB)
293 Activation Function ReLu Function.mp4 (28.02 MB)
294 Backpropagation & Forward Pass.mp4 (57.65 MB)
295 Gradient Descent.mp4 (27.68 MB)
296 Artificial Neural Networks Intuition.mp4 (16.76 MB)
297 Artificial Neural Networks Practicals.mp4 (56.88 MB)
298 Artificial Neural Networks Hyper Parameter Optimization.mp4 (46.45 MB)
299 Convolutional Neural Networks What is CNN.mp4 (29.83 MB)
300 Convolutional Neural Networks Steps in CNN.mp4 (45.22 MB)
301 Convolutional Neural Networks Architecture Explained.mp4 (63.69 MB)
302 Convolutional Neural Networks Image Augmentation.mp4 (53.89 MB)
303 Convolutional Neural Networks Batch size vs iterations vs epochs.mp4 (34.22 MB)
304 Convolutional Neural Networks Practicals.mp4 (67.89 MB)
305 Convolutional Neural Networks Model Summary & Parameters.mp4 (30.21 MB)
306 Convolutional Neural Networks Project (X-Ray detection).mp4 (65.66 MB)
307 Recurrent Neural Networks Basics.mp4 (25.2 MB)
308 Recurrent Neural Networks Types of RNN.mp4 (14.57 MB)
309 Recurrent Neural Networks Vanishing Gradient & Exploding Gradient Problem.mp4 (34.97 MB)
310 Recurrent Neural Networks LSTMs.mp4 (21.73 MB)
311 Recurrent Neural Networks LSTMs (Practicals).mp4 (41.27 MB)
312 Pre-Trained Models.mp4 (71.47 MB)
313 Pre-Trained Models (Practicals).mp4 (73.52 MB)
314 Pre-Trained Models VGG16.mp4 (36.19 MB)
315 Pre-Trained Models MobileNet.mp4 (20.86 MB)
316 Transfer Learning.mp4 (24.42 MB)
317 Project Pneumonia Detection from X-Ray Images.mp4 (55.71 MB)
319 Intro to NLP Introduction.mp4 (25.5 MB)
320 Intro to NLP Introduction continued.mp4 (22.6 MB)
321 Intro to NLP Key Challenges.mp4 (33.7 MB)
322 Intro to NLP Linguistics.mp4 (23.4 MB)
323 NLP Basics Case Folding.mp4 (18 MB)
324 NLP Basics SCR.mp4 (52.45 MB)
325 NLP Basics Handling Contractions.mp4 (36.93 MB)
326 NLP Basics Tokenization.mp4 (21.95 MB)
327 NLP Basics Stop Word Removal.mp4 (26.16 MB)
328 NLP Basics nGrams.mp4 (31.44 MB)
329 NLP Basics Vectorization.mp4 (16.57 MB)
330 NLP Basics Word Embeddings.mp4 (9.72 MB)
331 NLP Basics Bag of Words.mp4 (36.01 MB)
332 NLP Basics Bag of Words (Practicals).mp4 (69.81 MB)
333 NLP Basics TF-IDF.mp4 (45.09 MB)
334 NLP Basics TF-IDF (Practicals).mp4 (67.99 MB)
335 NLP Basics Part of Speech Tagging and Named Entity Recognition.mp4 (46.72 MB)
336 NLP Basics NER (Practicals).mp4 (46.92 MB)
337 Word Embeddings Word2Vec Introduction.mp4 (23.02 MB)
338 Word Embeddings Word2Vec Part 2.mp4 (12.36 MB)
339 Word Embeddings Pre-Trained Word2Vec.mp4 (27.78 MB)
340 Word Embeddings Word2Vec Intuition.mp4 (32.69 MB)
341 Word Embeddings Word2Vec - Check X Features.mp4 (36.48 MB)
342 Word Embeddings Word2Vec CBOW.mp4 (71.04 MB)
343 Word Embeddings Word2Vec Skip Grams.mp4 (40.6 MB)
344 Word Embeddings GloVe.mp4 (66.49 MB)
345 Word Embeddings FastText.mp4 (43.94 MB)
346 Word Embeddings Cosine Similarity.mp4 (67.45 MB)
347 Neural Networks LSTMs Part 1.mp4 (62.81 MB)
348 Neural Networks LSTMs Part 2 (Architecture).mp4 (59.92 MB)
349 Neural Networks LSTMs Part 3 (Deep Dive).mp4 (21.83 MB)
350 Neural Networks LSTMs Part 4 (Pointwise Operations).mp4 (23.22 MB)
351 Neural Networks LSTMs Part 5 (forget gate).mp4 (46.21 MB)
352 Neural Networks LSTMs Part 6 (inpute gate).mp4 (68.89 MB)
353 Neural Networks LSTMs Part 7 (output gate).mp4 (35.01 MB)
354 Neural Networks LSTMs Part 8 (Practicals 1).mp4 (101.67 MB)
355 Neural Networks LSTMs Part 9 (Practicals 2).mp4 (63.01 MB)
356 Neural Networks LSTMs Part 10 (Practicals 3).mp4 (49.05 MB)
357 Neural Networks GRU Part 1.mp4 (15.27 MB)
358 Neural Networks GRU Part 2.mp4 (80.85 MB)
359 Neural Networks GRU Part 3 (reset gate).mp4 (31.77 MB)
360 Neural Networks GRU Part 4 (update gate).mp4 (35.94 MB)
361 Neural Networks GRU Part 5 (Practicals).mp4 (44.26 MB)
362 Neural Networks Bi-Directional LSTMs.mp4 (84.07 MB)
364 Transformer Types.mp4 (72.48 MB)
365 Introduction to Transformers.mp4 (92.67 MB)
366 Self Attention.mp4 (84.37 MB)
367 Encoder Architecture.mp4 (33.59 MB)
368 Contextual Embeddings.mp4 (20.4 MB)
369 Decoder Architecture.mp4 (19.98 MB)
370 Introduction to BERT.mp4 (49.56 MB)
371 Configurations of BERT.mp4 (13.31 MB)
372 BERT Fine Tuning.mp4 (13.93 MB)
373 BERT Pre Tuning (Masked LM).mp4 (31.71 MB)
374 BERT Input Embeddings.mp4 (33.77 MB)
375 ARLM vs AELM.mp4 (23.3 MB)
376 RoBERTa.mp4 (34.73 MB)
377 DistilBERT.mp4 (50.45 MB)
378 AlBERT.mp4 (52.64 MB)
379 Introduction to GPT (Decoder Only).mp4 (21.13 MB)
380 GPT Architecture.mp4 (17.96 MB)
381 GPT Masked Multi Head Attention.mp4 (43.4 MB)
382 GPT Blocks.mp4 (26.49 MB)
383 GPT Training.mp4 (35.37 MB)
385 LLM Basics Context Window.mp4 (40.3 MB)
386 LLM Basics Prompt.mp4 (40.05 MB)
387 LLM Basics Prompt Engineering.mp4 (67.63 MB)
388 LLM Basics Prompt Tuning.mp4 (25.94 MB)
389 LLM Basics Prompt Structures.mp4 (49.27 MB)
390 RAGs Introduction to RAG.mp4 (4.37 MB)
391 RAGs What and Why.mp4 (70.01 MB)
392 RAGs Use Cases.mp4 (61.51 MB)
393 RAGs Paper Explanation.mp4 (21.03 MB)
394 RAGs Architecture Explanation.mp4 (70 MB)
395 RAGs Detailed Architecture Walkthrough.mp4 (47.07 MB)
396 RAGs Practical Use Cases.mp4 (102.55 MB)
397 LangChain.mp4 (38.73 MB)
398 Introduction to Prompt Engineering.mp4 (40.72 MB)
399 Types of Prompting.mp4 (50.57 MB)
400 Few Shot Limitations.mp4 (26.93 MB)
401 Chain of Thoughts Prompting.mp4 (25.37 MB)
402 Vector Databases.mp4 (47.75 MB)
403 Vector Database vs Vector Index.mp4 (29.8 MB)
404 How Vector Databases works.mp4 (39.39 MB)
405 Vector Database (Practicals).mp4 (93.75 MB)
406 LSH.mp4 (53.17 MB)
407 Model Overview Ollama.mp4 (65.12 MB)
408 Getting Started Ollama.mp4 (68.84 MB)
409 Model Testing Ollama.mp4 (82.28 MB)
410 Python Implementation Ollama.mp4 (28.84 MB)
411 RAG Systems Ollama.mp4 (48.67 MB)
412 RAG Systems (Practicals) Ollama.mp4 (80.65 MB)
413 Model Overview LLM APIs.mp4 (82.06 MB)
414 RAG Systems with xAI LLM APIs.mp4 (18.02 MB)
415 RAG Systems with xAI (Practicals) LLM APIs.mp4 (43.95 MB)
416 Deployment Basics.mp4 (24.33 MB)
417 Introduction to Flask.mp4 (46.17 MB)
418 Flask Basic App.mp4 (46.36 MB)
419 Model Building.mp4 (58.55 MB)
420 Flask App (Breast Cancer Prediction).mp4 (70.77 MB)
421 AWS.mp4 (35.93 MB)
422 AWS Deployment (Breast Cancer Prediction).mp4 (88.57 MB)
423 Introduction to Data Engineering.mp4 (1.92 MB)
424 What is ETL.mp4 (27.15 MB)
425 ETL Tools.mp4 (17.39 MB)
426 What is Data Warehouse.mp4 (12.24 MB)
427 Benefits of Data Warehouse.mp4 (6.41 MB)
428 Data Warehouse Structure.mp4 (11.32 MB)
429 Why do we need Staging.mp4 (21.19 MB)
430 What are Data Marts.mp4 (8.33 MB)
431 Data Lake.mp4 (9.87 MB)
432 Data lake vs Data Warehouse.mp4 (13.92 MB)
433 Elements of Datalake.mp4 (6.73 MB)
434 ChatScholar (EdTech Project).mp4 (136.96 MB)
435 Research RAG Chatbot.mp4 (106.8 MB)
436 Automated AI Claims Processing using Gen AI.mp4 (139.68 MB)
437 Multi PDF RAG Chatbot built on Web Scraped Data.mp4 (105.2 MB)
438 AI Career Coach Part 1.mp4 (50 MB)
439 AI Career Coach Part 2.mp4 (42.97 MB)
440 AI Career Coach Part 3.mp4 (77.81 MB)
441 Sustainability Chatbot (GROK AI).mp4 (139.75 MB)
442 ML Interview Prep.mp4 (8.28 MB)
443 ML Interview 1.mp4 (43.14 MB)
444 ML Interview 2.mp4 (55.32 MB)
445 ML Interview 3.mp4 (37.52 MB)
446 ML Interview 4.mp4 (37.09 MB)
447 ML Interview 5.mp4 (24.38 MB)
448 ML Interview 6.mp4 (38.75 MB)
449 ML Interview 7.mp4 (31.81 MB)
450 ML Interview 8.mp4 (36.68 MB)
451 ML Interview 9.mp4 (48.82 MB)
452 ML Interview 10.mp4 (36.31 MB)
453 DL Interview 1.mp4 (42.31 MB)
454 DL Interview 2.mp4 (28.04 MB)
455 DL Interview 3.mp4 (47.24 MB)
456 DL Interview 4.mp4 (26.67 MB)
457 DL Interview 5.mp4 (30.09 MB)
458 DL Interview 6.mp4 (37.74 MB)
459 DL Interview 7.mp4 (39.07 MB)
460 DL Interview 8.mp4 (36.18 MB)
461 DL Interview 9.mp4 (14.9 MB)
462 DL Interview 10.mp4 (33.1 MB)
463 Gen AI Interview 1.mp4 (20.58 MB)
464 Gen AI Interview 2.mp4 (22.22 MB)
465 Gen AI Interview 3.mp4 (41.89 MB)
466 Gen AI Interview 4.mp4 (22.25 MB)
467 Gen AI Interview 5.mp4 (31.19 MB)
468 Gen AI Interview 6.mp4 (36.73 MB)
469 Gen AI Interview 7.mp4 (29.28 MB)
470 Gen AI Interview 8.mp4 (39.85 MB)
471 Gen AI Interview 9.mp4 (38.73 MB)
472 Gen AI Interview 10.mp4 (43.47 MB)
473 Gen AI Interview 2.mp4 (22.22 MB)
474 Gen AI Interview 3.mp4 (41.89 MB)
475 Gen AI Interview 4.mp4 (30.03 MB)
476 Gen AI Interview 5.mp4 (31.19 MB)
477 Gen AI Interview 6.mp4 (36.73 MB)
478 Gen AI Interview 7.mp4 (29.28 MB)
479 Gen AI Interview 8.mp4 (39.85 MB)
480 Gen AI Interview 9.mp4 (38.73 MB)
481 Gen AI Interview 10.mp4 (43.47 MB)
5 Let s install Python together.mp4 (64.77 MB)
6 Google Colab, what s that.mp4 (13.95 MB)
7 Let s leverage chatGPT for help.mp4 (19.04 MB)
8 Introduction to Python.mp4 (18.17 MB)
9 Variables & Keywords.mp4 (73.08 MB)
10 Datatypes Operators.mp4 (69.17 MB)
11 Lists.mp4 (85.75 MB)
12 Tuples.mp4 (77.81 MB)
13 Sets.mp4 (46.8 MB)
14 Dictionary.mp4 (64.81 MB)
15 Loops & Iterations.mp4 (70.78 MB)
16 Functions.mp4 (73.85 MB)
17 Map Reduce Filter.mp4 (92.37 MB)
18 File Handling.mp4 (70.91 MB)
19 Control Structures.mp4 (35.44 MB)
20 OOPs.mp4 (66.14 MB)
21 NumPy.mp4 (104.83 MB)
22 Pandas.mp4 (103.25 MB)
23 Data Visualization.mp4 (22.8 MB)
24 Matplotlib.mp4 (82.36 MB)
25 Seaborn.mp4 (70.37 MB)
27 Introduction.mp4 (21.44 MB)
28 Types of Data (Agenda).mp4 (1.87 MB)
29 Descriptive Stats.mp4 (30.11 MB)
30 Inferential Stats.mp4 (9.91 MB)
31 Qualitative Data.mp4 (31.48 MB)
32 Quantitative Data.mp4 (15.75 MB)
33 Sampling Techniques (Agenda).mp4 (5.13 MB)
34 Population vs Sample.mp4 (13.52 MB)
35 Why Sampling is important.mp4 (12.26 MB)
36 Types of Sampling.mp4 (13.04 MB)
37 Cluster Random Sampling.mp4 (19.15 MB)
38 Probability Sampling.mp4 (29.88 MB)
39 Non probability sampling.mp4 (19.57 MB)
40 Population Sampling.mp4 (30.21 MB)
41 Why n-1 and not n.mp4 (19 MB)
42 Descriptive Analytics (Agenda).mp4 (3.37 MB)
43 Measures of Central Tendency.mp4 (7.44 MB)
44 Mean.mp4 (19.54 MB)
45 Median.mp4 (26.14 MB)
46 Mode.mp4 (17.23 MB)
47 Measures of Dispersion.mp4 (16.03 MB)
48 Range.mp4 (6.04 MB)
49 IQR.mp4 (16.2 MB)
50 Variance Standard Deviation.mp4 (36.54 MB)
51 Mean Deviation.mp4 (15.46 MB)
52 Probability (Agenda).mp4 (3.16 MB)
53 Probability.mp4 (26.28 MB)
54 Addition Rule.mp4 (26.8 MB)
55 Independent Events.mp4 (17.22 MB)
56 Cumulative Probability.mp4 (16.33 MB)
57 Conditional Probability.mp4 (29.19 MB)
58 Bayes Theorem 1.mp4 (7.86 MB)
59 Bayes Theorem 2.mp4 (18.37 MB)
60 Probability Distrubution (Agenda).mp4 (7.32 MB)
61 Uniform Distribution.mp4 (29.14 MB)
62 Binomial Distribution.mp4 (47.15 MB)
63 Poisson Distribution.mp4 (12.81 MB)
64 Normal Distribution Part 1.mp4 (38.87 MB)
65 Normal Distribution Part 2.mp4 (25.62 MB)
66 Skewness.mp4 (17.78 MB)
67 Kurtosis.mp4 (9.6 MB)
68 Calculating Probability with Z-score for Normal Distribution Part 1.mp4 (30.28 MB)
69 Calculating Probability with Z-score for Normal Distribution Part 2.mp4 (17.55 MB)
70 Calculating Probability with Z-score for Normal Distribution Part 3.mp4 (13.09 MB)
71 Covariance & Correlation (Agenda).mp4 (1.56 MB)
72 Covariance.mp4 (42.67 MB)
73 Correlation.mp4 (58.73 MB)
74 Covariance VS Correlation.mp4 (14.92 MB)
75 Hypothesis Testing.mp4 (25.64 MB)
76 Tailed Tests.mp4 (9.61 MB)
77 p-value.mp4 (15.56 MB)
78 Types of Test.mp4 (23.5 MB)
79 T Test.mp4 (27.75 MB)
80 Z Test.mp4 (34.66 MB)
81 Chi Square Test.mp4 (32.96 MB)
82 ANOVA.mp4 (33.34 MB)
83 Correlation Test (Practicals).mp4 (25.38 MB)
85 Agenda.mp4 (9.38 MB)
86 DA,DS Processes.mp4 (20.14 MB)
87 What is EDA.mp4 (11.53 MB)
88 Visualization.mp4 (17.71 MB)
89 Steps involved in EDA (Data Sourcing).mp4 (16.89 MB)
90 Steps involved in EDA (Data Cleaning).mp4 (15.38 MB)
91 Handle Missing Values (Theory).mp4 (23.59 MB)
92 Handle Missing Values (Practicals).mp4 (42.93 MB)
93 Feature Scaling (Theory).mp4 (40.62 MB)
94 Standardization Example.mp4 (15.53 MB)
95 Normalization Example.mp4 (9.2 MB)
96 Feature Scaling (Practicals).mp4 (50.71 MB)
97 Outlier Treatment (Theory).mp4 (34.36 MB)
98 Outlier Treatment (Practicals).mp4 (50.1 MB)
99 Invalid Data.mp4 (17.71 MB)
100 Types of Data.mp4 (8.54 MB)
101 Types of Analysis.mp4 (9.37 MB)
102 Univariate Analysis.mp4 (33.45 MB)
103 Bivariate Analysis.mp4 (19.32 MB)
104 Multivariate Analysis.mp4 (4.12 MB)
105 Numerical Analysis.mp4 (14.46 MB)
106 Analysis Practicals.mp4 (111.15 MB)
107 Derived Metrics.mp4 (16.8 MB)
108 Feature Binning (Theory).mp4 (26.9 MB)
109 Feature Binning (Practicals).mp4 (39.79 MB)
110 Feature Encoding (Theory).mp4 (45.71 MB)
111 Feature Encoding (Practicals).mp4 (58.46 MB)
112 Case Study.mp4 (47.66 MB)
113 Data Exploration.mp4 (52.46 MB)
114 Data Cleaning.mp4 (26.37 MB)
115 Univariate Analysis.mp4 (38.87 MB)
116 Bivariate Analysis Part 1.mp4 (40.79 MB)
117 Bivariate Analysis Part 2.mp4 (23.54 MB)
118 EDA Report.mp4 (16.14 MB)
120 Installation.mp4 (12.58 MB)
121 Data Architecture - File server vs client server.mp4 (27.24 MB)
122 Introduction to SQL.mp4 (35.96 MB)
123 Constraints in SQL.mp4 (59.73 MB)
124 Table Basics - DDLs.mp4 (72.1 MB)
125 Table Basics - DQLs.mp4 (63.03 MB)
126 Table Basics - DMLs.mp4 (87.07 MB)
127 Joins.mp4 (80.62 MB)
128 Data Import Export.mp4 (116.7 MB)
129 Aggregation Functions.mp4 (44.14 MB)
130 String functions.mp4 (61.62 MB)
131 Date Time Functions.mp4 (49.84 MB)
132 Regular Expressions.mp4 (34.15 MB)
133 Nested Queries.mp4 (54.9 MB)
134 Views.mp4 (46.74 MB)
135 Stored Procedures.mp4 (79.45 MB)
136 Windows Function.mp4 (70.25 MB)
137 SQL Python connectivity.mp4 (64.56 MB)
138 Agenda.mp4 (8.88 MB)
139 Introduction to ML.mp4 (17.8 MB)
140 Types of ML.mp4 (67.14 MB)
141 Use Cases Part 1.mp4 (7.83 MB)
142 Use Cases Part 2.mp4 (5.02 MB)
143 Pre-Requisites Features.mp4 (42.9 MB)
144 Pre-Requisites Train-Test Split.mp4 (66.74 MB)
145 Pre-Requisites Feature Scaling.mp4 (40.62 MB)
146 Pre-Requisites Standardization Example.mp4 (15.53 MB)
147 Pre-Requisites Normalization Example.mp4 (9.2 MB)
148 Pre-Requisites Feature Encoding.mp4 (45.74 MB)
149 Pre-Requisites Feature Encoding (Practicals).mp4 (39.59 MB)
150 Regression Introduction to Regression Models.mp4 (21.15 MB)
151 Regression Regression Metrics.mp4 (99.87 MB)
152 Regression Regression Metrics (Practicals).mp4 (66.25 MB)
153 Regression Simple Linear Regression.mp4 (43.35 MB)
154 Regression Multiple Linear Regression.mp4 (40.65 MB)
155 Regression Linear Regression (Practicals).mp4 (81.36 MB)
156 Regression Multiple Linear Regression (Practicals).mp4 (48.97 MB)
157 Regression Polynomial Regression.mp4 (33.98 MB)
158 Regression Polynomial Regression (Practicals).mp4 (82.07 MB)
159 Regression Bias Variance Tradeoff.mp4 (28.26 MB)
160 Regression Ridge Regression.mp4 (45.51 MB)
161 Regression Lasso Regression.mp4 (33.47 MB)
162 Regression Lasso & Ridge Regression (Practicals).mp4 (132.85 MB)
163 Classification Introduction to Classification.mp4 (22.35 MB)
164 Classification Types of Classification.mp4 (19.67 MB)
165 Classification Log Loss.mp4 (48.16 MB)
166 Classification Confusion Matrix.mp4 (47.91 MB)
167 Classification AUC ROC Curve.mp4 (33.99 MB)
168 Classification Classification Report.mp4 (28.38 MB)
169 Classification kNN Classifier.mp4 (40.52 MB)
170 Classification kNN Classifier Example.mp4 (37.97 MB)
171 Classification Practicals Part 1.mp4 (53.35 MB)
172 Classification kNN Classifier (Practicals).mp4 (52.41 MB)
173 Classification Decision Tree.mp4 (33.4 MB)
174 Classification Decision Tree (Entropy based).mp4 (52.59 MB)
175 Classification Decision Tree (gini based).mp4 (62.78 MB)
176 Classification Decision Tree (Practicals).mp4 (29.55 MB)
177 Classification Decision Tree (Visualizing).mp4 (66.93 MB)
178 Classification Random Forest Classifier.mp4 (21.81 MB)
179 Classification Random Forest Classifier (Practicals).mp4 (18.71 MB)
180 Classification Naive Bayes Classifier.mp4 (55.03 MB)
181 Classification SVM Classifier Part 1.mp4 (55.48 MB)
182 Classification SVM Classifier Part 2.mp4 (47.95 MB)
183 Classification Logistic Regression.mp4 (69.83 MB)
184 Classification Practicals so far.mp4 (85.65 MB)
185 Classification Issues in Classification (Part 1).mp4 (30.3 MB)
186 Classification Issues in Classification (Part 2).mp4 (41.5 MB)
187 Classification Project.mp4 (106.29 MB)
188 Ensemble Introduction to Ensemble Learning.mp4 (76.73 MB)
189 Ensemble Bagging.mp4 (46.64 MB)
190 Ensemble Bagging vs Random Forest.mp4 (49.08 MB)
191 Ensemble Bagging (Practicals 1).mp4 (94.85 MB)
192 Ensemble Bagging (Practicals 2).mp4 (65.72 MB)
193 Ensemble Boosting.mp4 (33.8 MB)
194 Ensemble Ada Boost.mp4 (66.96 MB)
195 Ensemble Gradient Boost.mp4 (18.62 MB)
196 Ensemble CF vs LF.mp4 (37.47 MB)
197 Ensemble Cross Entropy.mp4 (19.51 MB)
198 Ensemble Xtreme Gradient Boosting (XGB).mp4 (67.69 MB)
199 Ensemble Project.mp4 (77.54 MB)
200 Clustering Introduction to Clustering.mp4 (61.48 MB)
201 Clustering kMeans Clustering.mp4 (65.92 MB)
202 Clustering kMeans Clustering (Practicals).mp4 (73.26 MB)
203 Clustering Hierarchical Clustering.mp4 (58.06 MB)
204 Clustering Hierarchical Clustering (Practicals).mp4 (51.64 MB)
205 Clustering Mean Shift Clustering.mp4 (41.98 MB)
206 Feature Engineering Introduction.mp4 (49.28 MB)
207 Feature Engineering RFE and SFS.mp4 (20.05 MB)
208 Feature Engineering RFE (Practicals).mp4 (73.25 MB)
209 Feature Engineering Successive Feature Selection.mp4 (71.33 MB)
210 Feature Engineering Chi-Square.mp4 (22.24 MB)
211 Feature Engineering Chi-Square (Practicals).mp4 (23.06 MB)
212 Feature Engineering Principal Component Analysis.mp4 (104.82 MB)
213 Feature Engineering Principal Component Analysis (Practicals).mp4 (38.43 MB)
214 Feature Engineering Linear Discriminant Analysis.mp4 (35.91 MB)
215 Feature Engineering Linear Discriminant Analysis (Practicals).mp4 (34.66 MB)
216 Feature Engineering kPCA & QDA.mp4 (23.48 MB)
217 Feature Engineering kPCA & QDA (Practicals).mp4 (20.91 MB)
218 Hyper Parameter Optimization Basics.mp4 (37.07 MB)
219 Hyper Parameter Optimization Manual HPO.mp4 (22.53 MB)
220 Hyper Parameter Optimization GridSearch vs RandomizedSearch.mp4 (41.13 MB)
221 Hyper Parameter Optimization Manual HPO (Practicals).mp4 (70.26 MB)
222 Hyper Parameter Optimization RandomizedSearchCV (Practicals).mp4 (67.22 MB)
223 Hyper Parameter Optimization GridSearchCV (Practicals).mp4 (30.65 MB)
224 Introduction to TSA.mp4 (14.41 MB)
225 Time Series vs Regression.mp4 (39.45 MB)
226 Time Series Analysis.mp4 (8.99 MB)
227 Anomaly Detection.mp4 (17.02 MB)
228 Components of Time Series.mp4 (33.62 MB)
229 Decomposition.mp4 (6.09 MB)
230 Decomposition (Practicals).mp4 (24.24 MB)
231 AdditiveMultiplicative Decomposition.mp4 (30.53 MB)
232 Stationarity.mp4 (23.54 MB)
233 Testing TS Stationarity.mp4 (25.94 MB)
234 Transformation.mp4 (17.78 MB)
235 Introduction to Pre-Processing.mp4 (13.28 MB)
236 Handle Missing Value.mp4 (23.59 MB)
237 Handle Missing Value (Practicals).mp4 (42.99 MB)
238 Outlier Treatment.mp4 (34.36 MB)
239 3-Sigma Technique.mp4 (50.1 MB)
240 Feature Scaling.mp4 (40.62 MB)
241 Feature Scaling Standardization.mp4 (15.53 MB)
242 Feature Scaling Normalization.mp4 (9.21 MB)
243 Feature Scaling (Practicals).mp4 (50.71 MB)
244 Feature Encoding.mp4 (45.71 MB)
245 Feature Encoding (Practicals).mp4 (39.59 MB)
246 Models - Algorithms.mp4 (4.67 MB)
247 Models - ARIMA Part 1.mp4 (9.76 MB)
248 Models - ARIMA Part 2.mp4 (24.13 MB)
249 Models - AR Theory.mp4 (30.6 MB)
250 Models - MA Theory.mp4 (35.53 MB)
251 Models - ACFPACF Plots.mp4 (37.62 MB)
252 Models - Find p,d,q in ARIMA.mp4 (9.75 MB)
253 Models - ARIMA (Practicals Part 1).mp4 (52.15 MB)
254 Models - ARIMA (Practicals Part 2).mp4 (47.24 MB)
255 Models - ARIMA (Final).mp4 (37.18 MB)
256 Models - Decomposition.mp4 (12.68 MB)
257 Models - ACFPACF.mp4 (13.39 MB)
258 Models - Best Transformation.mp4 (37.81 MB)
259 Models - Grid Search (Part 1).mp4 (32.42 MB)
260 Models - Grid Search (Part 2).mp4 (7.74 MB)
261 Models - Final Model Building.mp4 (40.63 MB)
262 Models - Facebook Prophet (Part 1).mp4 (29.16 MB)
263 Models - Facebook Prophet (Part 2).mp4 (40.7 MB)
264 Models - Facebook Prophet (Part 3).mp4 (22.49 MB)
265 Models - Multi Variate Time Series Analysis.mp4 (24.19 MB)
266 Models - Facebook Prophet (Uni vs Multi).mp4 (49.75 MB)
267 Introduction to Metrics.mp4 (18.29 MB)
268 Forecasting Evaluation Metrics.mp4 (6.8 MB)
269 Mean Squarred Error.mp4 (6.72 MB)
270 Root Mean Squarred Error.mp4 (6.24 MB)
271 Mean Absolute Percentage Error.mp4 (13.63 MB)
272 Project 1 - Energy Forecasting Part 1.mp4 (11.48 MB)
273 Project 1 - Energy Forecasting Part 2.mp4 (23.67 MB)
274 Project 1 - Energy Forecasting Part 3.mp4 (25.99 MB)
275 Project 2 - Stock Market Prediction Part 1.mp4 (17.26 MB)
276 Project 2 - Stock Market Prediction Part 2.mp4 (14.92 MB)
277 Project 2 - Stock Market Prediction Part 3.mp4 (50.71 MB)
278 Project 3 - Demand Forecasting Part 1.mp4 (13.02 MB)
279 Project 3 - Demand Forecasting Part 2.mp4 (49.76 MB)
280 Project 3 - Demand Forecasting Part 3.mp4 (37.23 MB)
281 Project 3 - Demand Forecasting Part 4.mp4 (5.56 MB)
282 Project 3 - Demand Forecasting Part 5.mp4 (55.96 MB)
283 Project 3 - Demand Forecasting Part 6.mp4 (32.45 MB)
285 Introduction to Deep Learning.mp4 (8.35 MB)
286 Understanding Deep Learning.mp4 (21.9 MB)
287 What is a Neuron.mp4 (32.3 MB)
288 Activation Functions.mp4 (19.13 MB)
289 Activation Function Step Function.mp4 (24.95 MB)
290 Activation Function Linear Function.mp4 (49.65 MB)
291 Activation Function Sigmoid Function.mp4 (26.07 MB)
292 Activation Function TanH Function.mp4 (13.13 MB)
293 Activation Function ReLu Function.mp4 (28.02 MB)
294 Backpropagation & Forward Pass.mp4 (57.65 MB)
295 Gradient Descent.mp4 (27.68 MB)
296 Artificial Neural Networks Intuition.mp4 (16.76 MB)
297 Artificial Neural Networks Practicals.mp4 (56.88 MB)
298 Artificial Neural Networks Hyper Parameter Optimization.mp4 (46.45 MB)
299 Convolutional Neural Networks What is CNN.mp4 (29.83 MB)
300 Convolutional Neural Networks Steps in CNN.mp4 (45.22 MB)
301 Convolutional Neural Networks Architecture Explained.mp4 (63.69 MB)
302 Convolutional Neural Networks Image Augmentation.mp4 (53.89 MB)
303 Convolutional Neural Networks Batch size vs iterations vs epochs.mp4 (34.22 MB)
304 Convolutional Neural Networks Practicals.mp4 (67.89 MB)
305 Convolutional Neural Networks Model Summary & Parameters.mp4 (30.21 MB)
306 Convolutional Neural Networks Project (X-Ray detection).mp4 (65.66 MB)
307 Recurrent Neural Networks Basics.mp4 (25.2 MB)
308 Recurrent Neural Networks Types of RNN.mp4 (14.57 MB)
309 Recurrent Neural Networks Vanishing Gradient & Exploding Gradient Problem.mp4 (34.97 MB)
310 Recurrent Neural Networks LSTMs.mp4 (21.73 MB)
311 Recurrent Neural Networks LSTMs (Practicals).mp4 (41.27 MB)
312 Pre-Trained Models.mp4 (71.47 MB)
313 Pre-Trained Models (Practicals).mp4 (73.52 MB)
314 Pre-Trained Models VGG16.mp4 (36.19 MB)
315 Pre-Trained Models MobileNet.mp4 (20.86 MB)
316 Transfer Learning.mp4 (24.42 MB)
317 Project Pneumonia Detection from X-Ray Images.mp4 (55.71 MB)
319 Intro to NLP Introduction.mp4 (25.5 MB)
320 Intro to NLP Introduction continued.mp4 (22.6 MB)
321 Intro to NLP Key Challenges.mp4 (33.7 MB)
322 Intro to NLP Linguistics.mp4 (23.4 MB)
323 NLP Basics Case Folding.mp4 (18 MB)
324 NLP Basics SCR.mp4 (52.45 MB)
325 NLP Basics Handling Contractions.mp4 (36.93 MB)
326 NLP Basics Tokenization.mp4 (21.95 MB)
327 NLP Basics Stop Word Removal.mp4 (26.16 MB)
328 NLP Basics nGrams.mp4 (31.44 MB)
329 NLP Basics Vectorization.mp4 (16.57 MB)
330 NLP Basics Word Embeddings.mp4 (9.72 MB)
331 NLP Basics Bag of Words.mp4 (36.01 MB)
332 NLP Basics Bag of Words (Practicals).mp4 (69.81 MB)
333 NLP Basics TF-IDF.mp4 (45.09 MB)
334 NLP Basics TF-IDF (Practicals).mp4 (67.99 MB)
335 NLP Basics Part of Speech Tagging and Named Entity Recognition.mp4 (46.72 MB)
336 NLP Basics NER (Practicals).mp4 (46.92 MB)
337 Word Embeddings Word2Vec Introduction.mp4 (23.02 MB)
338 Word Embeddings Word2Vec Part 2.mp4 (12.36 MB)
339 Word Embeddings Pre-Trained Word2Vec.mp4 (27.78 MB)
340 Word Embeddings Word2Vec Intuition.mp4 (32.69 MB)
341 Word Embeddings Word2Vec - Check X Features.mp4 (36.48 MB)
342 Word Embeddings Word2Vec CBOW.mp4 (71.04 MB)
343 Word Embeddings Word2Vec Skip Grams.mp4 (40.6 MB)
344 Word Embeddings GloVe.mp4 (66.49 MB)
345 Word Embeddings FastText.mp4 (43.94 MB)
346 Word Embeddings Cosine Similarity.mp4 (67.45 MB)
347 Neural Networks LSTMs Part 1.mp4 (62.81 MB)
348 Neural Networks LSTMs Part 2 (Architecture).mp4 (59.92 MB)
349 Neural Networks LSTMs Part 3 (Deep Dive).mp4 (21.83 MB)
350 Neural Networks LSTMs Part 4 (Pointwise Operations).mp4 (23.22 MB)
351 Neural Networks LSTMs Part 5 (forget gate).mp4 (46.21 MB)
352 Neural Networks LSTMs Part 6 (inpute gate).mp4 (68.89 MB)
353 Neural Networks LSTMs Part 7 (output gate).mp4 (35.01 MB)
354 Neural Networks LSTMs Part 8 (Practicals 1).mp4 (101.67 MB)
355 Neural Networks LSTMs Part 9 (Practicals 2).mp4 (63.01 MB)
356 Neural Networks LSTMs Part 10 (Practicals 3).mp4 (49.05 MB)
357 Neural Networks GRU Part 1.mp4 (15.27 MB)
358 Neural Networks GRU Part 2.mp4 (80.85 MB)
359 Neural Networks GRU Part 3 (reset gate).mp4 (31.77 MB)
360 Neural Networks GRU Part 4 (update gate).mp4 (35.94 MB)
361 Neural Networks GRU Part 5 (Practicals).mp4 (44.26 MB)
362 Neural Networks Bi-Directional LSTMs.mp4 (84.07 MB)
364 Transformer Types.mp4 (72.48 MB)
365 Introduction to Transformers.mp4 (92.67 MB)
366 Self Attention.mp4 (84.37 MB)
367 Encoder Architecture.mp4 (33.59 MB)
368 Contextual Embeddings.mp4 (20.4 MB)
369 Decoder Architecture.mp4 (19.98 MB)
370 Introduction to BERT.mp4 (49.56 MB)
371 Configurations of BERT.mp4 (13.31 MB)
372 BERT Fine Tuning.mp4 (13.93 MB)
373 BERT Pre Tuning (Masked LM).mp4 (31.71 MB)
374 BERT Input Embeddings.mp4 (33.77 MB)
375 ARLM vs AELM.mp4 (23.3 MB)
376 RoBERTa.mp4 (34.73 MB)
377 DistilBERT.mp4 (50.45 MB)
378 AlBERT.mp4 (52.64 MB)
379 Introduction to GPT (Decoder Only).mp4 (21.13 MB)
380 GPT Architecture.mp4 (17.96 MB)
381 GPT Masked Multi Head Attention.mp4 (43.4 MB)
382 GPT Blocks.mp4 (26.49 MB)
383 GPT Training.mp4 (35.37 MB)
385 LLM Basics Context Window.mp4 (40.3 MB)
386 LLM Basics Prompt.mp4 (40.05 MB)
387 LLM Basics Prompt Engineering.mp4 (67.63 MB)
388 LLM Basics Prompt Tuning.mp4 (25.94 MB)
389 LLM Basics Prompt Structures.mp4 (49.27 MB)
390 RAGs Introduction to RAG.mp4 (4.37 MB)
391 RAGs What and Why.mp4 (70.01 MB)
392 RAGs Use Cases.mp4 (61.51 MB)
393 RAGs Paper Explanation.mp4 (21.03 MB)
394 RAGs Architecture Explanation.mp4 (70 MB)
395 RAGs Detailed Architecture Walkthrough.mp4 (47.07 MB)
396 RAGs Practical Use Cases.mp4 (102.55 MB)
397 LangChain.mp4 (38.73 MB)
398 Introduction to Prompt Engineering.mp4 (40.72 MB)
399 Types of Prompting.mp4 (50.57 MB)
400 Few Shot Limitations.mp4 (26.93 MB)
401 Chain of Thoughts Prompting.mp4 (25.37 MB)
402 Vector Databases.mp4 (47.75 MB)
403 Vector Database vs Vector Index.mp4 (29.8 MB)
404 How Vector Databases works.mp4 (39.39 MB)
405 Vector Database (Practicals).mp4 (93.75 MB)
406 LSH.mp4 (53.17 MB)
407 Model Overview Ollama.mp4 (65.12 MB)
408 Getting Started Ollama.mp4 (68.84 MB)
409 Model Testing Ollama.mp4 (82.28 MB)
410 Python Implementation Ollama.mp4 (28.84 MB)
411 RAG Systems Ollama.mp4 (48.67 MB)
412 RAG Systems (Practicals) Ollama.mp4 (80.65 MB)
413 Model Overview LLM APIs.mp4 (82.06 MB)
414 RAG Systems with xAI LLM APIs.mp4 (18.02 MB)
415 RAG Systems with xAI (Practicals) LLM APIs.mp4 (43.95 MB)
416 Deployment Basics.mp4 (24.33 MB)
417 Introduction to Flask.mp4 (46.17 MB)
418 Flask Basic App.mp4 (46.36 MB)
419 Model Building.mp4 (58.55 MB)
420 Flask App (Breast Cancer Prediction).mp4 (70.77 MB)
421 AWS.mp4 (35.93 MB)
422 AWS Deployment (Breast Cancer Prediction).mp4 (88.57 MB)
423 Introduction to Data Engineering.mp4 (1.92 MB)
424 What is ETL.mp4 (27.15 MB)
425 ETL Tools.mp4 (17.39 MB)
426 What is Data Warehouse.mp4 (12.24 MB)
427 Benefits of Data Warehouse.mp4 (6.41 MB)
428 Data Warehouse Structure.mp4 (11.32 MB)
429 Why do we need Staging.mp4 (21.19 MB)
430 What are Data Marts.mp4 (8.33 MB)
431 Data Lake.mp4 (9.87 MB)
432 Data lake vs Data Warehouse.mp4 (13.92 MB)
433 Elements of Datalake.mp4 (6.73 MB)
434 ChatScholar (EdTech Project).mp4 (136.96 MB)
435 Research RAG Chatbot.mp4 (106.8 MB)
436 Automated AI Claims Processing using Gen AI.mp4 (139.68 MB)
437 Multi PDF RAG Chatbot built on Web Scraped Data.mp4 (105.2 MB)
438 AI Career Coach Part 1.mp4 (50 MB)
439 AI Career Coach Part 2.mp4 (42.97 MB)
440 AI Career Coach Part 3.mp4 (77.81 MB)
441 Sustainability Chatbot (GROK AI).mp4 (139.75 MB)
442 ML Interview Prep.mp4 (8.28 MB)
443 ML Interview 1.mp4 (43.14 MB)
444 ML Interview 2.mp4 (55.32 MB)
445 ML Interview 3.mp4 (37.52 MB)
446 ML Interview 4.mp4 (37.09 MB)
447 ML Interview 5.mp4 (24.38 MB)
448 ML Interview 6.mp4 (38.75 MB)
449 ML Interview 7.mp4 (31.81 MB)
450 ML Interview 8.mp4 (36.68 MB)
451 ML Interview 9.mp4 (48.82 MB)
452 ML Interview 10.mp4 (36.31 MB)
453 DL Interview 1.mp4 (42.31 MB)
454 DL Interview 2.mp4 (28.04 MB)
455 DL Interview 3.mp4 (47.24 MB)
456 DL Interview 4.mp4 (26.67 MB)
457 DL Interview 5.mp4 (30.09 MB)
458 DL Interview 6.mp4 (37.74 MB)
459 DL Interview 7.mp4 (39.07 MB)
460 DL Interview 8.mp4 (36.18 MB)
461 DL Interview 9.mp4 (14.9 MB)
462 DL Interview 10.mp4 (33.1 MB)
463 Gen AI Interview 1.mp4 (20.58 MB)
464 Gen AI Interview 2.mp4 (22.22 MB)
465 Gen AI Interview 3.mp4 (41.89 MB)
466 Gen AI Interview 4.mp4 (22.25 MB)
467 Gen AI Interview 5.mp4 (31.19 MB)
468 Gen AI Interview 6.mp4 (36.73 MB)
469 Gen AI Interview 7.mp4 (29.28 MB)
470 Gen AI Interview 8.mp4 (39.85 MB)
471 Gen AI Interview 9.mp4 (38.73 MB)
472 Gen AI Interview 10.mp4 (43.47 MB)
473 Gen AI Interview 2.mp4 (22.22 MB)
474 Gen AI Interview 3.mp4 (41.89 MB)
475 Gen AI Interview 4.mp4 (30.03 MB)
476 Gen AI Interview 5.mp4 (31.19 MB)
477 Gen AI Interview 6.mp4 (36.73 MB)
478 Gen AI Interview 7.mp4 (29.28 MB)
479 Gen AI Interview 8.mp4 (39.85 MB)
480 Gen AI Interview 9.mp4 (38.73 MB)
481 Gen AI Interview 10.mp4 (43.47 MB)
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