Machine-Learning-with-Python [ML_Py]

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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 , Seaborn 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 - Beautiful Soup - BS4 , stack

   Related case study and examples :-

   1. The internal workings of a Basic Chat Bot - ELISA Code and functionality.
   2. Creating your own Facebook Messenger (WebHook) ChatBot and hosting the same on Heroku - https://github.com/RohitDhankar/Heroku_Django_ChatBot_FacebookMessenger

Questions and Answers.

Recap of earlier Modules and Important External Links :-

ANACONDA - Silent Install

ANACONDA - Official Page

ScikitLearn - Installation - After installing ANACONDA - pip install -U scikit-learn

Scikitlearn - Official Tutorials :-

Scikitlearn -Regression

Scikitlearn -Classification

Scikitlearn -Clustering

Scikitlearn -Model Selection etc

Numpy - Basics Official Tutorial

Installing -for LINUX and Mac - Numpy + Scipy Stack

Installing -for Windows - Numpy + Scipy Stack

Pandas - Basics Official Tutorial

MatPlotLib - PyPlot

Seaborn - Seaborn is a Python visualization library based on matplotlib

Installing Seaborn - Getting Started Official Guide