327.36 MB | 12min 36s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
FileName :01 - Predict data in Python.mp4 | Size: (3.13 MB)
FileName :02 - What you should know and course road map.mp4 | Size: (6.95 MB)
FileName :03 - How to use Codespaces and the exercise files.mp4 | Size: (9.48 MB)
FileName :04 - CoderPad tour.mp4 | Size: (4.78 MB)
FileName :01 - Differentiate data types.mp4 | Size: (15.49 MB)
FileName :02 - Python libraries and data import.mp4 | Size: (18.46 MB)
FileName :03 - Handling missing values.mp4 | Size: (35.26 MB)
FileName :04 - Solution Handling missing values.mp4 | Size: (5.51 MB)
FileName :05 - Convert categorical data into numbers.mp4 | Size: (34.17 MB)
FileName :06 - Divide the data into test and train.mp4 | Size: (21.98 MB)
FileName :07 - Feature scaling.mp4 | Size: (29.07 MB)
FileName :08 - Solution Feature scaling.mp4 | Size: (6.26 MB)
FileName :01 - Introduction to predictive models.mp4 | Size: (7.78 MB)
FileName :02 - Linear regression.mp4 | Size: (28.27 MB)
FileName :03 - Polynomial regression.mp4 | Size: (18.08 MB)
FileName :04 - Solution Polynomial regression.mp4 | Size: (5.67 MB)
FileName :05 - Support Vector Regression (SVR).mp4 | Size: (13.37 MB)
FileName :06 - Decision tree regression.mp4 | Size: (14.65 MB)
FileName :07 - Random forest regression.mp4 | Size: (16.26 MB)
FileName :08 - Solution Random forest regression.mp4 | Size: (3.65 MB)
FileName :09 - Evaluation of predictive models.mp4 | Size: (7.76 MB)
FileName :10 - Hyperparameter optimization.mp4 | Size: (12.16 MB)
FileName :11 - Solution Hyperparameter optimization.mp4 | Size: (5.59 MB)
FileName :01 - Next steps in Python and predictive analytics.mp4 | Size: (3.39 MB)
FileName :02 - What you should know and course road map.mp4 | Size: (6.95 MB)
FileName :03 - How to use Codespaces and the exercise files.mp4 | Size: (9.48 MB)
FileName :04 - CoderPad tour.mp4 | Size: (4.78 MB)
FileName :01 - Differentiate data types.mp4 | Size: (15.49 MB)
FileName :02 - Python libraries and data import.mp4 | Size: (18.46 MB)
FileName :03 - Handling missing values.mp4 | Size: (35.26 MB)
FileName :04 - Solution Handling missing values.mp4 | Size: (5.51 MB)
FileName :05 - Convert categorical data into numbers.mp4 | Size: (34.17 MB)
FileName :06 - Divide the data into test and train.mp4 | Size: (21.98 MB)
FileName :07 - Feature scaling.mp4 | Size: (29.07 MB)
FileName :08 - Solution Feature scaling.mp4 | Size: (6.26 MB)
FileName :01 - Introduction to predictive models.mp4 | Size: (7.78 MB)
FileName :02 - Linear regression.mp4 | Size: (28.27 MB)
FileName :03 - Polynomial regression.mp4 | Size: (18.08 MB)
FileName :04 - Solution Polynomial regression.mp4 | Size: (5.67 MB)
FileName :05 - Support Vector Regression (SVR).mp4 | Size: (13.37 MB)
FileName :06 - Decision tree regression.mp4 | Size: (14.65 MB)
FileName :07 - Random forest regression.mp4 | Size: (16.26 MB)
FileName :08 - Solution Random forest regression.mp4 | Size: (3.65 MB)
FileName :09 - Evaluation of predictive models.mp4 | Size: (7.76 MB)
FileName :10 - Hyperparameter optimization.mp4 | Size: (12.16 MB)
FileName :11 - Solution Hyperparameter optimization.mp4 | Size: (5.59 MB)
FileName :01 - Next steps in Python and predictive analytics.mp4 | Size: (3.39 MB)
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