PH2023 Python for Machine Learning: A Step-by-Step Guide
Data Science Projects with Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, PCA etc.
This course includes:
22 sections • 280 lectures • 32h 5m total length
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*Take note that this is limited only to a number of users. Enjoy
Data Science Projects with Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, PCA etc.
This course includes:
- 32 hours on-demand video
- 1 article
- 1 downloadable resource
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
22 sections • 280 lectures • 32h 5m total length
You do not have permission to view the full content of this post. Log in or register now.
*Take note that this is limited only to a number of users. Enjoy
