COURSE AUTHOR –
1. Learn how to solve real life problem using the Machine learning techniques
2. Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
3. Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
4. Understanding of basics of statistics and concepts of Machine Learning
5. How to do basic statistical operations and run ML models in R
6. Indepth knowledge of data collection and data preprocessing for Machine Learning problem
7. How to convert business problem into a Machine learning problem
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