What You will Learn?

• Getting Started with Machine Learning
• Introduction
• Installing SKlearn
• Plot a Graph
• Features and Labels_1
• Save and Open a Model
• Taking a look at some machine learning algorithms
• Classification
• Train Test Split
• What is KNN
• KNN Example
• SVM Explained
• SVM Example
• Linear regression
• Logistic vs linear regression
• Kmeans and the math beind it
• KMeans Example
• Artificial Intelligence and the science behind It
• Neural Network
• Overfitting and Underfitting
• Backpropagation
• Cost Function and Gradient Descent
• CNN
• Handwritten Digits Recognizer