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- Introduction to Machine Learning
- Types of Machine Learning
- Components of Python ML Ecosystem
- Regression Analysis
- Classification
- Association Rule Learning
- Recommender Systems
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Learn About:
- Deep dive into the world of Machine Learning (ML)
- Apply Python for Machine Learning programs
- Understand what is ML, the need for ML, challenges & application of ML in real-life scenarios
- Types of Machine Learning
- Components of Python ML Ecosystem
- Anaconda, Jupyter Notebook, NumPy, Pandas, Scikit-learn
Regression analysis - Scikit-learn Library to implement Simple Linear Regression
- Multiple Linear Regression and Polynomial Regression
Logistic Regression
Requirements:
- Enthusiasm and determination to make your mark on the world.
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