Machine-Learning-with-Python [ML_Py]

Register Here :- SIGNUP LINK

The Git Repo for content and code for the - Data Science India - Machine-Learning-with-Python [ML_Py]. Students / Corporate Learners who have been through earlier online sessions with me , may also benefit from this updated repository . As usual in case of any challenges reach out to me for further discussions .

Do note basis feedback from students - the content and flow of the sessions keeps changing .

Learning Index :-

Module -1 :-

[ Duration : @60 Minutes ]

Whats ML ? Why Python ? some bits of theory before the Code :) Quick intro to - Numpy , Pandas , MatplotLib and SciKitLearn.

1. Introduction to Regression - Theory and Excel workbook examples Regression in Python - the very basics . Case Study -1 - Linear Regression within Python Choosing "the Best" Regression Model.

2. Classification Tasks - the k-Nearest Neighbour Related case study and examples .

Questions and Answers.

Module -2 :-

[ Duration : @60 Minutes ]

1. Decision Trees from Scratch - Source - Book - Programming Collective Intelligence. Related case study and examples .

Questions and Answers.

Module -3 :-

[ Duration : @60 Minutes ]

1. Logistic Regression with Python. Related case study and examples .

Questions and Answers.

Module -4 :-

[ Duration : @60 Minutes ]

1. k-Means clustering with Python. Related case study and examples .

Questions and Answers.

Module -5 :-

[ Duration : @60 Minutes ]

1. Visualizing data with Python. Intro to MatPlotLib , Seaborn and JavaScript Lib - D3.js. Related case study and examples .

Questions and Answers.

Module -6 :-

[ Duration : @60 Minutes ]

1. Intro to NLP [ Natural Language Processing ] - NLTK Web Scraping - Bs4 etc . Related case study and examples .

Questions and Answers.

Recap of earlier Modules and Important External Links :-

MatPlotLib - PyPlot

Seaborn - Seaborn is a Python visualization library based on matplotlib

Installing Seaborn - Getting Started Official Guide