This repository contains all the notebooks files along with other resources like datasets and images.
For Lecture Slides and other misc resources visit: http://arifbutt.me
Section-1: gives the overview of Data Science and Machine Learning in general. The tools and technologies involved
Section-2: covers the basic concepts of Python programming. Optional for those who are comfortable programming in Python.
Section-3: covers in depth and applied knowledge of Python libraries for Data Scientists including numpy, pandas, scipy, statsmodels, Scikit-learn, Matplotlib, Seaborn,... A must for anyone who wants to jump in the domain of Data Science, Machine Learning, and Deep Learning
More to come...