Let's begin again

September 30, 2020

Course Name: Machine Learning Prerequisite: Core Python Course Contents: 1. Introduction 2.Traditional AI 3.What today’s AI can do? 4.Statistics and probability Refresher 5.Python Practice-Data visualization using-Matplotlib,Advanced Visualization using Seaborn 4.Categories of Machine Learning -Supervised -Unsupervised -Reinforcement -Deep Learning -Deep Reinforcement Learning 5.Supervised Learning --Algorithms of Supervised Learning 1.K-Nearest Neighbours 2.Decision Trees 3.Naive Bayes 4.Logistic Regression 5.Support Vector Machine 6.SCIKIT LEARN Algorithm 7.Unsupervised Learning ----K-means clustering 8.Artifical Neural Network 9.Dealing with real world data 10.Deep Learning Funadmentals 11.Final Project