CognitiveProgrammer/PyCon2019

#PyCon2019 : Hello World of Machine Learning Using Scikit Learn

This tutorial was presented at PyCon2019 on May 2nd, 2019

YouTube Video link: https://www.youtube.com/watch?v=bCDcI8SdjD8

GitHub repository: http://bit.ly/PyCon_2019

Prerequisite

• Experience with Python Programming Language

System Setup

• Download & install Anaconda Navigator in your system for python 3.7 from https://www.anaconda.com/distribution/
• Open Jupyter Notebook and create a new python3 notebook
• Type the following in the notebook cell

import numpy
import sklearn
import scipy
import pandas

Execute the cell and if it runs successfully, then congratulations, you have the setup ready for this tutorial

Your Instructor

Name: Deepak K Gupta (a.k.a Daksh)

• LinkedIn: https://www.linkedin.com/in/DakshHub/
• Twitter: https://twitter.com/DakshHub
• YouTube: https://www.youtube.com/Codesbay
• Github: https://github.com/CodesBay
• Web: https://www.codesbay.com/

Table of Contents

• Chapter - 0: Welcome & Introduction
• Chapter - 1: A.I., M.L., and D.L.
• Chapter - 2: Machine Learning Algorithms - Supervised, UnSupervised & Reinforcement
• Chapter - 3: Scikit-Learn - Introduction
• Chapter - 4: Machine Learning Prerequisite - NumPy and Matplotlib
• Chapter - 5: Iris: The Hello World ML Dataset from Scikit-Learn
• Chapter - 6: Supervised Learning - Linear Regression
• Chapter - 7: Supervised Learning - K-Nearest Neighbour
• Chapter - 8: Unsupervised Learning - K-Mean Clustering
• Chapter - 9: Managing Real World M.L.Data - Using Pandas
• Chapter - 10: K-Mean Clustering - Real World Data & Pandas
• Chapter - 11: Excrcise - Mapping Application