Machine Learning for Beginners A Complete Guide to Supervised and Unsupervised Learning with Python Master Regression,

[booksz]

Free Download Machine Learning for Beginners: A Complete Guide to Supervised and Unsupervised Learning with Python: Master Regression, Classification, Decision Trees, ... Series - Learn. Build. Master. Book 9)
English | November 16, 2025 | ASIN: B0G2K5C9X1 | 417 pages | Epub | 11.17 MB
Master Machine Learning and Build Production-Ready AI Models with Python Machine Learning for Beginners is your comprehensive guide to building real-world AI systems using industry-standard tools. This book bridges theory and practice, teaching you to develop, evaluate, and deploy machine learning models professionally. What's Inside Learn machine learning fundamentals including supervised and unsupervised learning, proper model evaluation, and the iterative mindset essential for success. Master regression techniques from linear models through advanced regularization methods including Ridge, Lasso, and ElasticNet for feature selection and handling non-linear patterns. Progress to classification algorithms including logistic regression with probability outputs, decision trees with visual interpretability, random forests demonstrating ensemble learning power, and XGBoost with competition-winning techniques. Explore unsupervised learning through K-Means clustering for customer segmentation and Principal Component Analysis for dimensionality reduction. Develop professional practices including systematic model comparison, hyperparameter tuning with grid and random search, and complete end-to-end project workflows from business problem through deployment with documentation. Practical Projects Included Build house price predictors, customer churn classifiers, fraud detection systems, sales forecasters, customer segmentation models, and a portfolio-ready employee attrition prediction system with deployment code and professional documentation. Industry-Standard Tools Master scikit-learn, XGBoost, Pandas, NumPy, MatDescriptionlib, and Seaborn. All code runs in Jupyter Notebooks, Google Colab, or local Python environments. Complete GitHub repository included. Who This Book Is For Aspiring data scientists, analysts expanding technical skills, software developers adding ML capabilities, and professionals wanting to understand AI applications. Requires basic Python knowledge. No advanced mathematics needed. Unique Approach Each concept includes intuitive explanations before mathematics, complete working code, real-world business context, visual demonstrations, and common pitfall warnings. Learn proper evaluation metrics, systematic algorithm selection, feature engineering, deployment strategies, and professional documentation practices. Address practical challenges including missing values, imbalanced classes, data leakage prevention, feature scaling, and production deployment. Understand not just how algorithms work, but when and why to use each technique. Career Development Includes guidance on data scientist versus ML engineer roles, portfolio building with GitHub best practices, Kaggle competition strategies, interview preparation, and career pathways in this rapidly growing field. What You'll Achieve Fundamental machine learning skills applicable across industries, portfolio projects demonstrating capabilities, systematic model development approaches, understanding of algorithm selection, and confidence to explore advanced topics including deep learning and natural language processing. Machine learning expertise opens doors to high-demand careers in data science, artificial intelligence, and business analytics with median salaries exceeding six figures. This book provides the practical foundation for professional success. Start building production-ready machine learning models today.

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Links are Interchangeable - Single Extraction

 

[0dayddl]

28.61 GB | 13min 42s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 - Introduction.mp4 (42.65 MB)
2 - How to Use This Course.mp4 (33.15 MB)
3 - Installing Python.mp4 (52.86 MB)
4 - Installing Powershell.mp4 (56.73 MB)
5 - Python Virtual Environments.mp4 (89.8 MB)
6 - Visual Studio Code A Free Lightweight Editor.mp4 (61.71 MB)
7 - Hello World.mp4 (34.52 MB)
8 - The Shebang or Hashbang.mp4 (30.83 MB)
9 - Where to Find the Source Code.mp4 (27.5 MB)
10 - Visual Studio Code Tips.mp4 (55.63 MB)
11 - Variables.mp4 (52.13 MB)
12 - An Interactive Program.mp4 (60.81 MB)
13 - Builtin Functions.mp4 (54.47 MB)
14 - Numeric Variables.mp4 (65.09 MB)
15 - Numeric Expressions.mp4 (48.09 MB)
16 - Python Types.mp4 (56.63 MB)
17 - Performing Calculations.mp4 (85.84 MB)
18 - Converting Temperatures.mp4 (90.92 MB)
19 - A Program Inspired by WarGames.mp4 (15.28 MB)
20 - Boolean Variables.mp4 (59.36 MB)
21 - The If Statement.mp4 (81.77 MB)
22 - If Else.mp4 (24.52 MB)
23 - Constants.mp4 (72.79 MB)
24 - IfElseIf.mp4 (84.78 MB)
25 - Comparison Operators.mp4 (89.05 MB)
26 - Fridge Exercise.mp4 (35.61 MB)
27 - Solving the Fridge Exercise.mp4 (103.19 MB)
28 - Improving the Fridge Solution.mp4 (95.38 MB)
29 - For Loops.mp4 (48.01 MB)
30 - Ranges.mp4 (50.17 MB)
31 - Indentation.mp4 (49.61 MB)
32 - The Break Keyword.mp4 (58.78 MB)
33 - The Continue Keyword.mp4 (21.53 MB)
34 - A Password Exercise.mp4 (24.91 MB)
35 - A Solution to the Password Exercise.mp4 (73.86 MB)
36 - Boolean Operators.mp4 (81.99 MB)
37 - Boolean Operators Exercise.mp4 (26.75 MB)
38 - A Solution to the Boolean Operators Exercise.mp4 (143.79 MB)
39 - Another Solutiion to the Boolean Operators Exercise.mp4 (50.34 MB)
40 - While Loops.mp4 (43.4 MB)
41 - Your First Function.mp4 (76.55 MB)
42 - Multiple Functions.mp4 (69.15 MB)
43 - Function Arguments.mp4 (58.44 MB)
44 - The id Function.mp4 (66.86 MB)
45 - Changing Parameter Variables.mp4 (51.36 MB)
46 - Return Values.mp4 (69.71 MB)
47 - Passing Multiple Arguments.mp4 (56.07 MB)
48 - Calculating Factorials Exercise.mp4 (55.55 MB)
49 - A Solution to the Factorial Exercise.mp4 (60.33 MB)
50 - Default Arguments.mp4 (38.47 MB)
51 - Keyword Arguments.mp4 (42.3 MB)
52 - Variable Length Arguments.mp4 (54.7 MB)
53 - Variable Length Keyword Arguments.mp4 (74.7 MB)
54 - Arguments and Parameters Summary.mp4 (58.36 MB)
55 - A Solution to the Arguments Exercise.mp4 (40.28 MB)
56 - Multiple Return Values.mp4 (55.49 MB)
57 - A Solution to the BMI Exercise.mp4 (35.98 MB)
58 - Tuples.mp4 (64.42 MB)
59 - Packing and Unpacking Tuples.mp4 (87.44 MB)
60 - Tuple Slicing.mp4 (64.98 MB)
61 - Tuple Functions and Operators.mp4 (79.13 MB)
62 - Lists.mp4 (51.35 MB)
63 - Joining Lists.mp4 (97.7 MB)
64 - Modifying Lists.mp4 (98.87 MB)
65 - Extended Slicing.mp4 (87.73 MB)
66 - Extending and Inserting Into Lists.mp4 (31 MB)
67 - Removing List Items.mp4 (53.53 MB)
68 - List Comprehensions Flexibly Creating Lists.mp4 (86.69 MB)
69 - List Comprehension Conditions.mp4 (58.17 MB)
70 - List Comprehension ifelse.mp4 (40.74 MB)
71 - List Database Exercise.mp4 (53.99 MB)
72 - List Exercise Tips.mp4 (62.24 MB)
73 - Structuring a Solution to the List Exercise.mp4 (85.01 MB)
74 - Completing the List Exercise Solution.mp4 (91.36 MB)
75 - About Data Validation.mp4 (39.71 MB)
76 - Sets Collections of Unique Objects.mp4 (70.21 MB)
77 - Adding to Sets and Updating Sets.mp4 (44.21 MB)
78 - Removing Items from Sets.mp4 (49.61 MB)
79 - The Union and Intersection of Sets.mp4 (59.59 MB)
80 - Difference Updates.mp4 (53.33 MB)
81 - A Set Exercise.mp4 (12.96 MB)
82 - A Solution to the Set Exercise.mp4 (57.46 MB)
83 - Python Dictionaries.mp4 (50.67 MB)
84 - Adding Items to Dictionaries.mp4 (46.89 MB)
85 - Iterating Over Dictionaries.mp4 (58.63 MB)
86 - Dictionary Views.mp4 (59.85 MB)
87 - Deleting Dictionary Items.mp4 (25.49 MB)
88 - The Dictionary Get Method.mp4 (27.53 MB)
89 - Default Dictionaries.mp4 (38.04 MB)
90 - Dictionary Comprehensions.mp4 (51.03 MB)
91 - A Dictionary Exercise.mp4 (16.1 MB)
92 - A Solution to the Dictionary Exercise.mp4 (92.34 MB)
93 - Casefolding and None.mp4 (68.03 MB)
94 - Enumerating and Zipping.mp4 (35.44 MB)
95 - Improving the Dictionary Exercise Solution.mp4 (45.94 MB)
96 - Hashing Algorithms.mp4 (78.64 MB)
97 - Containers Summary.mp4 (53.02 MB)
98 - Time Complexity and Big O.mp4 (94.02 MB)
99 - Lists of Lists.mp4 (40.51 MB)
100 - Iterating Over Lists of Lists.mp4 (73.04 MB)
101 - Dictionaries of Lists.mp4 (40.56 MB)
102 - A Dictionaries of Sets Exercise.mp4 (90.81 MB)
103 - The First Part of A Solution to the Dictionaries of Sets Exercise.mp4 (59.6 MB)
104 - The Second Part of the Solution to the Dictionaries of Sets Exercise.mp4 (91.3 MB)
105 - Global Variables.mp4 (44.45 MB)
106 - Selecting Items at Random.mp4 (16.22 MB)
107 - Modular Arithmetic and the Modulus Operator.mp4 (57.39 MB)
108 - An Exercise Using Multiple Containers.mp4 (35.25 MB)
109 - The First Part of a Solution to the Containers Exercise.mp4 (64.71 MB)
110 - The Second Part of the Solution to the Containers Exercise.mp4 (97.41 MB)
111 - A Review of Strings.mp4 (82.75 MB)
112 - Formatting Strings.mp4 (80.65 MB)
113 - The Format Method.mp4 (108.13 MB)
114 - FStrings.mp4 (20.68 MB)
115 - Raw Strings.mp4 (26.84 MB)
116 - A Simple Regular Expression.mp4 (43.89 MB)
117 - Matching Multiple Characters.mp4 (32.49 MB)
118 - The Ternary Operator.mp4 (42.62 MB)
119 - Greedy Matching.mp4 (71.06 MB)
120 - Matching Numbers and Words.mp4 (81.57 MB)
121 - Capture Groups.mp4 (34.37 MB)
122 - Matching Specific Numbers of Characters.mp4 (54.57 MB)
123 - Character Classes.mp4 (50.71 MB)
124 - A Solution to the Email AddressMatching Exercise.mp4 (39.39 MB)
125 - Using Not in Character Classes.mp4 (61.16 MB)
126 - Escaping Regexes.mp4 (27.48 MB)
127 - Comments and Space in Regular Expressions.mp4 (60.2 MB)
128 - Referring to Capture Groups in Regexes.mp4 (35.53 MB)
129 - Capture Groups and NonCapture Groups.mp4 (59.94 MB)
130 - Matching Newlines.mp4 (48.29 MB)
131 - Matching Ends of Lines.mp4 (61.31 MB)
132 - The Search Function.mp4 (45.45 MB)
133 - The Findall Function.mp4 (58.48 MB)
134 - Matching Starts of Lines.mp4 (71.4 MB)
135 - Splitting Strings.mp4 (30.53 MB)
136 - Replacing Text.mp4 (18.78 MB)
137 - Alternatives in Regexes.mp4 (55.15 MB)
138 - A Budget Exercise.mp4 (31.71 MB)
139 - The First Part of a Solution to the Budget Exercise.mp4 (64.5 MB)
140 - The Second Part of the Solution to the Budget Exercise.mp4 (89.07 MB)
141 - Ignoring Case in Regular Expressions.mp4 (27.59 MB)
142 - Compiling Regular Expressions.mp4 (75.47 MB)
143 - ZeroWidth Lookahead Assertions.mp4 (88.9 MB)
144 - Some More Useful Regex Sequences.mp4 (47.1 MB)
145 - Summary of Regular Expressions.mp4 (70.65 MB)
146 - Tracebacks.mp4 (42.14 MB)
147 - TryExcept.mp4 (46.12 MB)
148 - Catching Specific Errors.mp4 (64.65 MB)
149 - Error Messages.mp4 (38.33 MB)
150 - Raising Errors.mp4 (86.98 MB)
151 - The KeyboardInterrupt Error.mp4 (54.14 MB)
152 - The Finally Clause.mp4 (72.4 MB)
153 - An Exercise with Errors.mp4 (16.61 MB)
154 - A Solution to the Errors Exercise.mp4 (80.07 MB)
155 - An Exercise on Calculating Pi.mp4 (36.31 MB)
156 - A Solution to the Pi Exercise.mp4 (78.18 MB)
157 - Using Assertions.mp4 (71.19 MB)
158 - Classes.mp4 (83.84 MB)
159 - Constructors.mp4 (61.14 MB)
160 - The Mysterious Self Variable.mp4 (90.87 MB)
161 - Object Properties.mp4 (78.18 MB)
162 - Creating String Representations of Objects.mp4 (52.71 MB)
163 - Encapsulation.mp4 (71.17 MB)
164 - An ObjectOriented Word Game.mp4 (94.86 MB)
165 - Choosing Words.mp4 (50.35 MB)
166 - Guessing Letters.mp4 (74.59 MB)
167 - Displaying Letters.mp4 (70.07 MB)
168 - Completing the Word Game.mp4 (88.82 MB)
169 - Getters and Setters.mp4 (104.38 MB)
170 - Inheritance.mp4 (73.01 MB)
171 - Overriding Methods.mp4 (43.37 MB)
172 - Polymorphism.mp4 (69.24 MB)
173 - Super Constructors.mp4 (62.47 MB)
174 - Class Properties.mp4 (87.15 MB)
175 - Automatically Assigning IDs to Objects.mp4 (53.97 MB)
176 - Class Methods.mp4 (86.82 MB)
177 - Object and Classes.mp4 (73.79 MB)
178 - An Exercise in Object Orientation.mp4 (56.11 MB)
179 - First Part of a Solution to the Object Orientation Exercise.mp4 (62.75 MB)
180 - Second Part of the Solution to the Object Orientation Exercise.mp4 (82.19 MB)
181 - Third Part of the Solution to the Object Orientation Exercise.mp4 (80.59 MB)
182 - Class Hierarchies.mp4 (68.06 MB)
183 - Multiple Inheritance.mp4 (43.52 MB)
184 - The Diamond Problem.mp4 (75.46 MB)
185 - Mixins.mp4 (85.88 MB)
186 - The Property Class.mp4 (118.19 MB)
187 - Introducing Conways Game of Life.mp4 (35.21 MB)
188 - A Basic GUI App.mp4 (61 MB)
189 - Using Frames.mp4 (61.82 MB)
190 - Refactoring Into an OO Structure.mp4 (57.81 MB)
191 - Laying Out Widgets with Grids.mp4 (97.58 MB)
192 - A Canvas Class.mp4 (50.92 MB)
193 - Getting Widget Sizes.mp4 (120.83 MB)
194 - Drawing Cells.mp4 (78.12 MB)
195 - A Cell Class.mp4 (86.89 MB)
196 - Toggling Cell States.mp4 (85.43 MB)
197 - Handling Button Clicks.mp4 (74.04 MB)
198 - Selecting Neighbouring Cells.mp4 (46.37 MB)
199 - Wrapping Cell Selection.mp4 (98.76 MB)
200 - The Game of Life Rules.mp4 (43.69 MB)
201 - Implementing the Game of Life Rules.mp4 (109.27 MB)
202 - Clearing the Grid.mp4 (27.27 MB)
203 - Randomising Cell Selection.mp4 (88.79 MB)
204 - A Basic Module.mp4 (58.78 MB)
205 - Conditionally Running Main.mp4 (74.04 MB)
206 - Importing Parts of Modules.mp4 (34.88 MB)
207 - Packages.mp4 (35.06 MB)
208 - A Games Package.mp4 (49.68 MB)
209 - Using Functions in Dictionaries.mp4 (90.01 MB)
210 - A Solution to the Games Menu Exercise.mp4 (68.88 MB)
211 - Package Initialisation.mp4 (78.59 MB)
212 - How Python Locates Modules.mp4 (78.33 MB)
213 - Inspecting Modules.mp4 (61.41 MB)
214 - Subpackages.mp4 (48.83 MB)
215 - Package Attributes.mp4 (52.92 MB)
216 - Referencing Parallel Modules.mp4 (62.62 MB)
217 - Installing Modules.mp4 (90.92 MB)
218 - A Clock Class Exercise.mp4 (30.85 MB)
219 - A Solution to the Clock Exercise.mp4 (40.39 MB)
220 - Implementing Add.mp4 (34.27 MB)
221 - Implementing Unary Operators.mp4 (61.59 MB)
222 - Flags.mp4 (47.87 MB)
223 - Bitwise Or.mp4 (64.69 MB)
224 - Bitwise Flags.mp4 (68.36 MB)
225 - Bitwise And.mp4 (18.53 MB)
226 - A Flags Exercise.mp4 (42.98 MB)
227 - A Solution to the Flags Exercise.mp4 (89.29 MB)
228 - Bitwise xor and not.mp4 (59.34 MB)
229 - Bit Shift Operators.mp4 (81.36 MB)
230 - Hexadecimal Numbers.mp4 (95.32 MB)
231 - A Solution to the Hexadecimal Colours Exercise.mp4 (71.67 MB)
232 - Introducing Functional Programming.mp4 (35.96 MB)
233 - Recursion.mp4 (63.38 MB)
234 - Passing Functions to Functions.mp4 (42.13 MB)
235 - Iterators.mp4 (59.16 MB)
236 - Powers of Two Iterator.mp4 (43.48 MB)
237 - Mapping.mp4 (58.13 MB)
238 - Lambda Functions.mp4 (20.58 MB)
239 - Defining Functions in Loops.mp4 (81.77 MB)
240 - Lambda Exercise Solution.mp4 (44.11 MB)
241 - Sorting.mp4 (51.6 MB)
242 - Next and Iter.mp4 (92.9 MB)
243 - Generating Characters.mp4 (37.91 MB)
244 - Generators.mp4 (54.83 MB)
245 - An Exercise with Generators.mp4 (27.73 MB)
246 - Generators Exercise Solution.mp4 (23.04 MB)
247 - General Generators Syntax.mp4 (32.43 MB)
248 - Generators as Loops.mp4 (59.45 MB)
249 - Game of Life Exercise Solution.mp4 (64.68 MB)
250 - The Itertools Module.mp4 (50.32 MB)
251 - Function Generators.mp4 (44.79 MB)
252 - Powers of Two Generator Solution.mp4 (23.17 MB)
253 - Filtering.mp4 (27.53 MB)
254 - Reducing.mp4 (47.27 MB)
255 - A Functional Word Exercise.mp4 (37.86 MB)
256 - Solution to the Word Exercise.mp4 (45.09 MB)
257 - A Functional Parsing Exercise.mp4 (12.99 MB)
258 - Solution to the Functional Parsing Exercise.mp4 (35.87 MB)
259 - The Mall Customers Database.mp4 (54.99 MB)
260 - Reading Files.mp4 (26.8 MB)
261 - Ensuring Files Are Closed.mp4 (30.47 MB)
262 - Examining With.mp4 (73.93 MB)
263 - Iterating Over Files.mp4 (34.36 MB)
264 - Writing Files.mp4 (36.75 MB)
265 - Files Exercise Solution.mp4 (88.49 MB)
266 - Appending to Files.mp4 (15.91 MB)
267 - Handling Binary Text Data.mp4 (107.25 MB)
268 - Binary Files.mp4 (38.23 MB)
269 - Serialization.mp4 (34.4 MB)
270 - Serializing Integers.mp4 (62.06 MB)
271 - Deserializing Integers.mp4 (43 MB)
272 - Saving and Loading Integers.mp4 (51.73 MB)
273 - Numbers Versus Bytes.mp4 (112.55 MB)
274 - Python Arrays.mp4 (77.45 MB)
275 - Saving Arrays.mp4 (67.21 MB)
276 - Pickling.mp4 (47.11 MB)
277 - JSON.mp4 (58.7 MB)
278 - File Dialogs.mp4 (99.81 MB)
279 - Game of Life Menus.mp4 (61.95 MB)
280 - Game of Life Save and Load.mp4 (112.76 MB)
281 - Testing the Game of Life Updates.mp4 (63.43 MB)
282 - The OS Module.mp4 (62.32 MB)
283 - A Word Count Exercise.mp4 (38.2 MB)
284 - Splitting Text Into Words.mp4 (83.75 MB)
285 - Counting Words.mp4 (82.68 MB)
286 - Numpy Arrays.mp4 (65.74 MB)
287 - Creating Numpy Arrays.mp4 (129.5 MB)
288 - Numpy Arithmetic.mp4 (56.48 MB)
289 - Numpy Slicing.mp4 (62.97 MB)
290 - 2D Indexing.mp4 (60.82 MB)
291 - Numpy Views.mp4 (51.3 MB)
292 - Advanced Indexing.mp4 (72.66 MB)
293 - Matrices.mp4 (87.63 MB)
294 - Matrix Multiplication.mp4 (83.53 MB)
295 - Numpy Functions.mp4 (51.71 MB)
296 - An Exercise with Numpy.mp4 (32.89 MB)
297 - Numpy Exercise Solution First Part.mp4 (73.91 MB)
298 - Numpy Exercise Solution Second Part.mp4 (62.85 MB)
299 - Tiling.mp4 (51.61 MB)
300 - Masks.mp4 (27.69 MB)
301 - Combining Boolean Arrays.mp4 (44.83 MB)
302 - Filtering Numpy Arrays.mp4 (43.31 MB)
303 - Variance and Standard Deviation.mp4 (64.6 MB)
304 - Variance Exercise.mp4 (77.74 MB)
305 - Bessels Correction.mp4 (96.91 MB)
306 - Scaling and Variance.mp4 (96.92 MB)
307 - Loading CSV in Numpy.mp4 (16.35 MB)
308 - Pyplot Basics.mp4 (33.06 MB)
309 - Styles.mp4 (54.44 MB)
310 - Configuring Matplotlib.mp4 (36.21 MB)
311 - More Config Options.mp4 (71.03 MB)
312 - A Word Length Exercise.mp4 (17.76 MB)
313 - Word Length Plot Solution First Part.mp4 (114.87 MB)
314 - Word Length Plot Solution Second Part.mp4 (80.34 MB)
315 - Creating Bar Charts.mp4 (68.34 MB)
316 - Creating Pie Charts.mp4 (75.23 MB)
317 - Pie Chart Exercise Solution.mp4 (69.11 MB)
318 - Scatter Plots.mp4 (115.02 MB)
319 - Histograms.mp4 (69.73 MB)
320 - Multiple Graphs in One Plot.mp4 (56.46 MB)
321 - Subplots.mp4 (76.82 MB)
322 - Subplots Exercise Solution.mp4 (70.58 MB)
323 - 3D Plots.mp4 (73.29 MB)
324 - Introduction.mp4 (69.81 MB)
325 - Referencing Cells.mp4 (46.38 MB)
326 - Loc and Iloc.mp4 (87.82 MB)
327 - Changing Values in Pandas.mp4 (67.5 MB)
328 - Pandas Functions.mp4 (84.58 MB)
329 - Pandas Series.mp4 (48.63 MB)
330 - Matplot and Pandas.mp4 (38 MB)
331 - Sorting in Pandas.mp4 (73.21 MB)
332 - Correlations.mp4 (68.43 MB)
333 - Grouping.mp4 (78.74 MB)
334 - Grouped Types.mp4 (63.73 MB)
335 - Group Aggregate Functions.mp4 (52.86 MB)
336 - Filtering.mp4 (52.69 MB)
337 - Multiple Groups.mp4 (43.02 MB)
338 - Plotting Groups.mp4 (97.21 MB)
339 - Binning.mp4 (96.56 MB)
340 - A Groupby Exercise.mp4 (6.54 MB)
341 - Groupby Exercise Solution First Part.mp4 (66.87 MB)
342 - Groupby Exercise Solution Second Part.mp4 (51.01 MB)
343 - Zipfs Law Exercise.mp4 (91.1 MB)
344 - Zipfs Law Exercise Solution.mp4 (53.29 MB)
345 - Introduction to Regression.mp4 (64.19 MB)
346 - Linear Regression Data.mp4 (65.23 MB)
347 - Configuring Tick Labels.mp4 (72.62 MB)
348 - The Equation of a Line.mp4 (83.82 MB)
349 - Linear Regression with Statsmodels.mp4 (89.89 MB)
350 - Why Add Constants.mp4 (63.59 MB)
351 - R Squared.mp4 (61.59 MB)
352 - Calculating R Squared.mp4 (94.79 MB)
353 - TrainTest Split.mp4 (93.28 MB)
354 - Predictions with Linear Regression.mp4 (102.54 MB)
355 - Linear Regression Exercise.mp4 (33.12 MB)
356 - Plotting Grapes Exercise Solution.mp4 (41.3 MB)
357 - Predicting the Weights of Grapes.mp4 (77.78 MB)
358 - Removing Outliers.mp4 (81.41 MB)
359 - Multiple Linear Regression.mp4 (57.67 MB)
360 - A Multiple Linear Regression Model with ScikitLearn.mp4 (83.95 MB)
361 - About Polynomial Regression.mp4 (73.28 MB)
362 - Polynomial Features.mp4 (90.98 MB)
363 - A Polynomial Regression Model.mp4 (99.31 MB)
364 - A Surprising Result.mp4 (72.07 MB)
365 - Binomial Logistic Regression and Causation.mp4 (17.44 MB)
366 - Categorical Dummy Values.mp4 (58.71 MB)
367 - The Logistic Equation.mp4 (75.32 MB)
368 - A ScikitLearn Logistic Regression Model.mp4 (74.2 MB)
369 - Multiple Logistic Regression.mp4 (73.03 MB)
370 - Getting Predictions with Logistic Regression.mp4 (38.41 MB)
371 - Confusion Matrices.mp4 (76.77 MB)
372 - Scaling and Normalisation.mp4 (92.97 MB)
373 - Normalising Split Data.mp4 (77.49 MB)
374 - Using StandardScaler.mp4 (102.23 MB)
375 - A Confusion Matrix Exercise.mp4 (44.49 MB)
376 - Confusion Matrix Exercise Solution First Part.mp4 (90.5 MB)
377 - Confusion Matrix Exercise Solution Second Part.mp4 (84.13 MB)
378 - Introducing Clustering.mp4 (58.35 MB)
379 - KMeans Clustering.mp4 (97.25 MB)
380 - Centroids and Inertia.mp4 (47.74 MB)
381 - The Elbow Method.mp4 (83.89 MB)
382 - KMeans Exercise Solution.mp4 (71.95 MB)
383 - Exercise Further Analysis.mp4 (55.3 MB)
384 - The Iris Flower Dataset.mp4 (63.94 MB)
385 - Loading the Iris Flower Dataset.mp4 (46.5 MB)
386 - Seaborn Plots.mp4 (68.64 MB)
387 - KMeans Iris Exercise.mp4 (23.49 MB)
388 - Iris Exercise Solution.mp4 (138.51 MB)
389 - Permutations Exercise.mp4 (47.77 MB)
390 - Permutations Exercise Solution.mp4 (81.38 MB)
391 - Normalized Mutual Information.mp4 (44.01 MB)
392 - Dendrograms.mp4 (71.04 MB)
393 - The Linkage Table.mp4 (103.45 MB)
394 - Clustering Iris Flower Data.mp4 (93.76 MB)
395 - ScikitLearn Agglomerative Clustering.mp4 (86.32 MB)
396 - Linkage and Affinity.mp4 (72.93 MB)
397 - Fit Predict Transform.mp4 (79.88 MB)
398 - Nearest Neighbors.mp4 (57.76 MB)
399 - Spherically Symmmetric Data.mp4 (105.99 MB)
400 - DBSCAN.mp4 (70.84 MB)
401 - Determining Epsilon.mp4 (108.78 MB)
402 - Using DBSCAN.mp4 (78.21 MB)
403 - DBSCAN Moons Exercise.mp4 (71.34 MB)
404 - DBSCAN Moons Exercise Solution.mp4 (90.56 MB)
405 - Silhouette Scores.mp4 (50.22 MB)
406 - Nearest Neighbors Classification.mp4 (21.96 MB)
407 - Using KNeighborsClassifier.mp4 (112.34 MB)
408 - Bayes Theorem.mp4 (128.65 MB)
409 - Naive Bayes.mp4 (44.45 MB)
410 - Applying Bayes to Classification.mp4 (39.83 MB)
411 - An Email Dataset.mp4 (13.25 MB)
412 - Loading the Email Dataset.mp4 (81.78 MB)
413 - Counting Words in Emails.mp4 (40.09 MB)
414 - Listing Common Words.mp4 (84.26 MB)
415 - The Predictor Matrix.mp4 (45.95 MB)
416 - Naive Bayes Classifiers.mp4 (109.79 MB)
417 - Naive Bayes Exercise.mp4 (48.3 MB)
418 - Naive Bayes Exercise Solution.mp4 (78.68 MB)
419 - Classifying Irises with Naive Bayes.mp4 (72.36 MB)
420 - Introducing Decision Trees.mp4 (21.34 MB)
421 - Gini Impurity.mp4 (19.35 MB)
422 - Calculating Gini Impurity.mp4 (29.53 MB)
423 - Gini Impurity Examples.mp4 (28.78 MB)
424 - Decision Tree Exercise.mp4 (18.77 MB)
425 - A Solution to the Decision Tree Exercise.mp4 (30.87 MB)
426 - Seaborn Iris Plots.mp4 (77.6 MB)
427 - Plotting Decision Trees.mp4 (66.54 MB)
428 - Introducing PCA.mp4 (26.86 MB)
429 - Data for PCA.mp4 (79.23 MB)
430 - How PCA Works.mp4 (103.53 MB)
431 - Transforming Data with PCA.mp4 (98.07 MB)
432 - Explained Variance Ratios.mp4 (113.49 MB)
433 - Iris Flower PCA Analysis.mp4 (87.76 MB)
434 - PCA Components.mp4 (56.06 MB)
435 - Classifying Irises with PCA.mp4 (102.8 MB)
436 - PCA Tips.mp4 (78.1 MB)
437 - PCA Exercise.mp4 (38.95 MB)
438 - A Solution to the PCA Exercise.mp4 (158.76 MB)
439 - The MNIST Dataset.mp4 (55.43 MB)
440 - Fetching MNIST From OpenML.mp4 (73.49 MB)
441 - Loading MNIST with Keras.mp4 (71.83 MB)
442 - Character Recognition.mp4 (119.24 MB)
443 - Configuring Logistic Regression.mp4 (112.19 MB)
444 - Displaying Images.mp4 (75.5 MB)
445 - An Artificial Neuron.mp4 (23.55 MB)
446 - Activation Functions.mp4 (33.45 MB)
447 - Minimising Loss.mp4 (26.06 MB)
448 - Preparing Iris Data.mp4 (82.7 MB)
449 - A Basic ANN.mp4 (116.4 MB)
450 - Dropout and Tweaking the Network.mp4 (62.07 MB)
451 - A Neural Net Character Recognition Exercise.mp4 (45.72 MB)
452 - Preparing the MNIST Data.mp4 (49.72 MB)
453 - An ANN for Recognising Digits.mp4 (116.5 MB)
454 - Improving the ANN.mp4 (55.2 MB)
455 - Comparing Subarrays.mp4 (54.25 MB)
456 - Displaying Misclassified Images.mp4 (71.55 MB)
457 - Saving and Loading ANNs.mp4 (40.15 MB)
458 - Machine Learning Pipelines.mp4 (72.88 MB)
459 - A Standalone Pretrained Classifier.mp4 (49.29 MB)
460 - The California Housing Dataset.mp4 (48.45 MB)
461 - Regression with Neural Networks.mp4 (103.98 MB)
462 - Improving ANN Regression.mp4 (39.62 MB)
463 - Analysing the Results.mp4 (85.68 MB)
464 - Detecting Overfitting.mp4 (104.31 MB)
465 - Conclusion.mp4 (78.81 MB)

]
Screenshot

Spoiler

DDownload

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

RapidGator

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!