|
|
1. An example of a complete pipeline.mp4
|
MP4
|
121.2 MB
|
|
|
1. An example of a complete pipeline.srt
|
SRT
|
17.9 KB
|
|
|
1. Define a transformation pipeline.mp4
|
MP4
|
38.8 MB
|
|
|
1. Define a transformation pipeline.srt
|
SRT
|
9.3 KB
|
|
|
1. Introduction to PCA.mp4
|
MP4
|
18.8 MB
|
|
|
1. Introduction to PCA.srt
|
SRT
|
4 KB
|
|
|
1. Introduction to SMOTE.mp4
|
MP4
|
19.6 MB
|
|
|
1. Introduction to SMOTE.srt
|
SRT
|
5.1 KB
|
|
|
1. Introduction to data cleaning.mp4
|
MP4
|
9.6 MB
|
|
|
1. Introduction to data cleaning.srt
|
SRT
|
2.4 KB
|
|
|
1. Introduction to feature selection.mp4
|
MP4
|
28.6 MB
|
|
|
1. Introduction to feature selection.srt
|
SRT
|
7.1 KB
|
|
|
1. Introduction to scaling.mp4
|
MP4
|
19 MB
|
|
|
1. Introduction to scaling.srt
|
SRT
|
3.1 KB
|
|
|
1. Introduction to the course.mp4
|
MP4
|
17.5 MB
|
|
|
1. Introduction to the course.srt
|
SRT
|
3.4 KB
|
|
|
1. Introduction to the encoding of categorical variables.mp4
|
MP4
|
5.4 MB
|
|
|
1. Introduction to the encoding of categorical variables.srt
|
SRT
|
1.3 KB
|
|
|
1. Introduction to transformations.mp4
|
MP4
|
10.8 MB
|
|
|
1. Introduction to transformations.srt
|
SRT
|
2.6 KB
|
|
|
1. Practical suggestions.html
|
HTML
|
1.4 KB
|
|
|
1.1 A complete pipeline.ipynb
|
IPYNB
|
11 KB
|
|
|
1.1 Define a transformation pipeline.ipynb
|
IPYNB
|
4.2 KB
|
|
|
2. How to perform PCA.mp4
|
MP4
|
61.8 MB
|
|
|
2. How to perform PCA.srt
|
SRT
|
8.6 KB
|
|
|
2. How to perform SMOTE.mp4
|
MP4
|
57 MB
|
|
|
2. How to perform SMOTE.srt
|
SRT
|
10.1 KB
|
|
|
2. Normalization, Standardization, Robust scaling.mp4
|
MP4
|
71.2 MB
|
|
|
2. Normalization, Standardization, Robust scaling.srt
|
SRT
|
11.5 KB
|
|
|
2. Numerical and categorical variables.mp4
|
MP4
|
11.6 MB
|
|
|
2. Numerical and categorical variables.srt
|
SRT
|
2.3 KB
|
|
|
2. Numerical features, numerical target.mp4
|
MP4
|
77.9 MB
|
|
|
2. Numerical features, numerical target.srt
|
SRT
|
9.4 KB
|
|
|
2. One-hot encoding.mp4
|
MP4
|
114.7 MB
|
|
|
2. One-hot encoding.srt
|
SRT
|
19.8 KB
|
|
|
2. Pipelines and ColumnTransformer together.mp4
|
MP4
|
78.6 MB
|
|
|
2. Pipelines and ColumnTransformer together.srt
|
SRT
|
11.2 KB
|
|
|
2. Power Transformation.mp4
|
MP4
|
48.7 MB
|
|
|
2. Power Transformation.srt
|
SRT
|
8.7 KB
|
|
|
2. Selecting numerical and categorical variables.mp4
|
MP4
|
27.6 MB
|
|
|
2. Selecting numerical and categorical variables.srt
|
SRT
|
4 KB
|
|
|
2.1 How to do SMOTE.ipynb
|
IPYNB
|
8.7 KB
|
|
|
2.1 Numerical target numerical feature.ipynb
|
IPYNB
|
41.1 KB
|
|
|
2.1 One-hot encoding.ipynb
|
IPYNB
|
10.8 KB
|
|
|
2.1 PCA.ipynb
|
IPYNB
|
25.3 KB
|
|
|
2.1 Pipelines and ColumnTransformer together .ipynb
|
IPYNB
|
5.5 KB
|
|
|
2.1 Power Transform.ipynb
|
IPYNB
|
43.5 KB
|
|
|
2.1 Scaling techniques.ipynb
|
IPYNB
|
14.2 KB
|
|
|
2.1 Select numerical and categorical variables.ipynb
|
IPYNB
|
4.5 KB
|
|
|
3. Binning.mp4
|
MP4
|
60.4 MB
|
|
|
3. Binning.srt
|
SRT
|
10.9 KB
|
|
|
3. Cleaning the numerical features.mp4
|
MP4
|
59.1 MB
|
|
|
3. Cleaning the numerical features.srt
|
SRT
|
10.5 KB
|
|
|
3. Exercise.mp4
|
MP4
|
32.8 MB
|
|
|
3. Exercise.srt
|
SRT
|
5.9 KB
|
|
|
3. Exercises.mp4
|
MP4
|
78.7 MB
|
|
|
3. Exercises.srt
|
SRT
|
10.6 KB
|
|
|
3. Numerical features, categorical target.mp4
|
MP4
|
52.1 MB
|
|
|
3. Numerical features, categorical target.srt
|
SRT
|
5.8 KB
|
|
|
3. Ordinal encoding.mp4
|
MP4
|
40 MB
|
|
|
3. Ordinal encoding.srt
|
SRT
|
7.8 KB
|
|
|
3. The dataset.html
|
HTML
|
409.6 B
|
|
|
3.1 Binning.ipynb
|
IPYNB
|
30.3 KB
|
|
|
3.1 Cleaning the numerical features.ipynb
|
IPYNB
|
7.6 KB
|
|
|
3.1 Exercise.ipynb
|
IPYNB
|
4.5 KB
|
|
|
3.1 Exercises.ipynb
|
IPYNB
|
11.2 KB
|
|
|
3.1 Numerical features categorical target.ipynb
|
IPYNB
|
13 KB
|
|
|
3.1 OrdinalEncoder.ipynb
|
IPYNB
|
3.6 KB
|
|
|
3.1 sample_dataset_bins.csv
|
CSV
|
8.5 KB
|
|
|
3.2 sample_dataset.csv
|
CSV
|
97.1 KB
|
|
|
4. Binarizing.mp4
|
MP4
|
11.6 MB
|
|
|
4. Binarizing.srt
|
SRT
|
2.4 KB
|
|
|
4. Categorical features, numerical target.mp4
|
MP4
|
71.1 MB
|
|
|
4. Categorical features, numerical target.srt
|
SRT
|
9.2 KB
|
|
|
4. Cleaning the categorical features.mp4
|
MP4
|
17 MB
|
|
|
4. Cleaning the categorical features.srt
|
SRT
|
3.7 KB
|
|
|
4. Label encoding of the target variable.mp4
|
MP4
|
10.1 MB
|
|
|
4. Label encoding of the target variable.srt
|
SRT
|
2.4 KB
|
|
|
4. Required Python packages.html
|
HTML
|
921.6 B
|
|
|
4.1 Binarizer.ipynb
|
IPYNB
|
13.3 KB
|
|
|
4.1 Categorical features numerical target.ipynb
|
IPYNB
|
44.5 KB
|
|
|
4.1 Cleaning the categorical features.ipynb
|
IPYNB
|
34.2 KB
|
|
|
4.1 LabelEncoder.ipynb
|
IPYNB
|
1.6 KB
|
|
|
5. Applying an arbitrary transformation.mp4
|
MP4
|
42.1 MB
|
|
|
5. Applying an arbitrary transformation.srt
|
SRT
|
7.1 KB
|
|
|
5. Categorical features, categorical target.mp4
|
MP4
|
56.9 MB
|
|
|
5. Categorical features, categorical target.srt
|
SRT
|
6.8 KB
|
|
|
5. Exercise.mp4
|
MP4
|
74.4 MB
|
|
|
5. Exercise.srt
|
SRT
|
12.1 KB
|
|
|
5. Jupyter notebooks.mp4
|
MP4
|
34.6 MB
|
|
|
5. Jupyter notebooks.srt
|
SRT
|
9.4 KB
|
|
|
5. KNN blank filling.mp4
|
MP4
|
60.9 MB
|
|
|
5. KNN blank filling.srt
|
SRT
|
10.6 KB
|
|
|
5.1 Categorical features categorical target.ipynb
|
IPYNB
|
43.1 KB
|
|
|
5.1 Cleaning with KNN.ipynb
|
IPYNB
|
6.6 KB
|
|
|
5.1 Exercises.ipynb
|
IPYNB
|
4.9 KB
|
|
|
5.1 FunctionTransformer.ipynb
|
IPYNB
|
11.9 KB
|
|
|
6. ColumnTransformer and make_column_selector.mp4
|
MP4
|
88.4 MB
|
|
|
6. ColumnTransformer and make_column_selector.srt
|
SRT
|
13.2 KB
|
|
|
6. Exercise.mp4
|
MP4
|
76.7 MB
|
|
|
6. Exercise.srt
|
SRT
|
10 KB
|
|
|
6. Feature importance according to a model.mp4
|
MP4
|
87.4 MB
|
|
|
6. Feature importance according to a model.srt
|
SRT
|
10.8 KB
|
|
|
6.1 ColumnTransformer.ipynb
|
IPYNB
|
6.8 KB
|
|
|
6.1 Exercises.ipynb
|
IPYNB
|
8.8 KB
|
|
|
6.1 Feature importance according to model.ipynb
|
IPYNB
|
26.2 KB
|
|
|
7. A comment on mutual information.html
|
HTML
|
1.1 KB
|
|
|
7. About power transformations.html
|
HTML
|
1 KB
|
|
|
7. Exercises.mp4
|
MP4
|
80.7 MB
|
|
|
7. Exercises.srt
|
SRT
|
9.4 KB
|
|
|
7.1 Exercises.ipynb
|
IPYNB
|
23.6 KB
|
|
|
8. A comment on feature selection with categorical variables.html
|
HTML
|
1 KB
|
|
|
9. Exercises.mp4
|
MP4
|
53.8 MB
|
|
|
9. Exercises.srt
|
SRT
|
8.4 KB
|
|
|
9.1 Exercises.ipynb
|
IPYNB
|
4.9 KB
|
|
|
Bonus Resources.txt
|
TXT
|
409.6 B
|
|
|
Get Bonus Downloads Here.url
|
URL
|
204.8 B
|
