MACHINE LEARNING

What Will I Learn?

    Module 1 - Intro to Machine Learning

    • Applications of Machine Learning

    • Supervised vs Unsupervised Learning

    • Python libraries suitable for Machine Learning

     

    Module 2 - Regression

    • Linear Regression

    • Non-linear Regression

    • Model evaluation methods

     

    Module 3 - Classification

    • K-Nearest Neighbour

    • Decision Trees

    • Logistic Regression

    • Support Vector Machines

    • Model Evaluation

     

    Module 4 - Unsupervised Learning

    • K-Means Clustering

    • Hierarchical Clustering

    • Density-Based Clustering

     

    Module 5 - Recommender Systems

    • Content-based recommender systems

    • Collaborative Filtering

     

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