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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 .
[ Duration : @60 Minutes ]
Whats ML ? Why Python ? some bits of theory before the Code :)
Quick intro to - Numpy , Pandas , MatplotLib , Seaborn and SciKitLearn.
- 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.
- Classification Tasks - the k-Nearest Neighbour Related case study and examples .
Questions and Answers.
[ Duration : @60 Minutes ]
- Decision Trees from Scratch - Source - Book - Programming Collective Intelligence. Related case study and examples .
Questions and Answers.
[ Duration : @60 Minutes ]
- Logistic Regression with Python. Related case study and examples .
Questions and Answers.
[ Duration : @60 Minutes ]
- k-Means clustering with Python. Related case study and examples .
Questions and Answers.
[ Duration : @60 Minutes ]
- Visualizing data with Python. Intro to MatPlotLib , Seaborn and JavaScript Lib - D3.js. Related case study and examples .
Questions and Answers.
[ Duration : @60 Minutes ]
- Intro to NLP [ Natural Language Processing ] - NLTK Web Scraping - Bs4 etc . Related case study and examples .
Questions and Answers.
ScikitLearn - Installation - After installing ANACONDA - pip install -U scikit-learn
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
Seaborn - Seaborn is a Python visualization library based on matplotlib