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1 -Common Challenges in Data Preparation.mp4 |
70.91MB |
1 -Introduction to Predictive Modeling.mp4 |
76.19MB |
1 -Real-World Applications of Data Balancing.mp4 |
84.92MB |
2 -Data Preprocessing in Action.mp4 |
71.27MB |
2 -Scaling and Balancing in Machine Learning Pipelines.mp4 |
86.46MB |
2 -Understanding Data Preprocessing.mp4 |
74.29MB |
3 -Advanced Data Balancing Techniques.mp4 |
82.73MB |
3 -Balancing and Scaling in Practice.mp4 |
88.92MB |
3 -The Role of Statistics in Model Development.mp4 |
80.11MB |
4 -Advanced Balancing and Scaling Techniques.mp4 |
101.58MB |
4 -Data Balancing Techniques An Overview.mp4 |
89.32MB |
4 -Handling Imbalanced Datasets with SMOTE.mp4 |
74.18MB |
5 -Scaling and Normalization Why It Matters.mp4 |
78.27MB |
5 -Scaling Methods Min-Max, Standardization, and More.mp4 |
80.51MB |
5 -Summary and Key Takeaways.mp4 |
90.22MB |
6 -Feature Engineering for Predictive Models.mp4 |
74.06MB |
6 -Final Thoughts and Next Steps.mp4 |
88.08MB |
6 -Impact of Scaling on Model Performance.mp4 |
82.11MB |
7 -Exploratory Data Analysis (EDA) for Model Insights.mp4 |
64.50MB |
7 -Practical Guide to Feature Scaling.mp4 |
73.39MB |
Bonus Resources.txt |
70B |
Get Bonus Downloads Here.url |
180B |