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