Machine-Learning-A-to-Z

Machine Learning A-Z (Udemy)

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Machine-Learning-A-to-Z

Objective

The objective of this course is to learn Machine Learning concepts and be handy with coding of machine learning. Here I have the solutions and codes of “Machine Learning A to Z” course of Udemy.

Expectations

The course expectations include:
  1. Regression
    • Simple Linear Regression
    • Multilinear Regression
    • Polynomial Regression
    • Supported Vector Regression (SVR)
    • Decision Tree Regression
    • Random Forest Regression
    • Logistic Regression
  2. Classification
    • K-Nearest Neighbours
    • Supported Vector Machine (SVM)
    • Kernel SVM
    • Naive Bayes
    • Decision Tree Classifier
    • Random Forest Classifier
    • K-Means Clustering
    • Hierarchical Clustering
  3. Deep Learning
    • NLP
    • ANN
    • CNN