International Certification in Artificial Intelligence & Machine Learning

■ What is Machine Learning
■ How does it work?
■ Supervised Machine Learning
■ Unsupervised Machine Learning
■ Different Machine Learning algorithms.
■ Regression and Classification algorithms
■ Use cases of different types of Machine Learning algorithms
■ Machine Learning Practice Workouts

■ What is regression,
■ Regression algorithms:
■ Simple Linear Regression Statistical method using OLS
■ Programming with Simple Linear Regression Statistical method and Statslib
■ Regression Algorithm Gradient Descent method (incl derivation of Gradients)
■ Programming with Gradient Descent method, Stochastic Gradient Descent, sklearn
■ Overfitting/Bias
■ Non-Linear Regression
■ Programming Assignment on Linear Regression using Gradient Descent Method*

■ What is Logistic Regression? Is it regression or classification?
■ Learning in Logistic Regression
■ Gradient Descent method
■ Programming with Statistical Method using Statslib
■ Programming with Gradient Method using Native Python

■ Reconnecting to Math foundations
■ Different Similarity measures (include Cosine Theta)
■ KNN Algorithm
■ Intro to Sklearn Framework
■ Programming and building a KNN model with Sklearn Framework
■ Programming and building a KNN model with Native Python