Fast-Track Machine Learning in Python & ChatGPT

Files Included :

1 Machine Learning and Its Characteristics.mp4 (10.59 MB)
MP4
2 Complete Machine Learning Work-flow.mp4 (9.39 MB)
MP4
1 Load your dataset into Python environment.mp4 (39.13 MB)
MP4
2 Handling missing values with Scikit-learn.mp4 (81.08 MB)
MP4
3 Identify and deal with inconsistent data.mp4 (61.72 MB)
MP4
4 Dealing with miss-identified data types.mp4 (40.31 MB)
MP4
5 Address and remove duplicated data.mp4 (28.24 MB)
MP4
1 Sorting and arranging dataset.mp4 (30.89 MB)
MP4
2 Filter data based on conditions.mp4 (71.68 MB)
MP4
3 Merging or adding of supplementary variables.mp4 (31.12 MB)
MP4
4 Concatenating or adding of supplementary data.mp4 (31.33 MB)
MP4
1 Feature engineering Generating new data.mp4 (103.9 MB)
MP4
2 Extracting day, months, year from date variable.mp4 (32.44 MB)
MP4
3 Feature encoding Assigning numeric values.mp4 (33.44 MB)
MP4
4 Creating dummy variables for nominal data.mp4 (47.2 MB)
MP4
5 Data standardizing and normalizing with StandardScaler.mp4 (84.57 MB)
MP4
6 Splitting data into training and testing set.mp4 (38.75 MB)
MP4
2 Linear regression ML model.mp4 (115.85 MB)
MP4
3 Decision Tree regression ML model.mp4 (57.22 MB)
MP4
4 Random Forest regression ML model.mp4 (56.57 MB)
MP4
5 Support Vector regression ML model.mp4 (42.72 MB)
MP4
6 XGBoost regression ML model.mp4 (48.11 MB)
MP4
2 Logistic Regression ML model.mp4 (139.3 MB)
MP4
3 Decision Tree classification ML model.mp4 (77.38 MB)
MP4
4 Random Forest classification ML model.mp4 (68.67 MB)
MP4
5 K Nearest Neighbours classification ML model.mp4 (120.47 MB)
MP4
6 LightGBM classification ML model.mp4 (81.7 MB)
MP4
1 KMeans Clustering ML model.mp4 (127.74 MB)
MP4
1 ChatGPT Your best code companion.mp4 (60.23 MB)
MP4