Data Science

This Document gives a clear introduction about Machine Learning and this is the transition point from understanding the logics and Math behind the problems and implementing the knowledge to Business questions.

This is a series of decks overwritten with notes about processing image and text data using python libraries.

This document has series of decks overwritten with notes about how to handle missing data in Pandas.

This document will help creating an html web page. If all the steps is followed, then you can create your very first html page. Also, the same goal can be achieved by using dash. This document also includes the steps in creating a webpage using python dash.

This document will guide through Data visualization in python using matplotlib and seaborn libraries. The data set used in this model is "iris dataset"

This document is all about probability mathematics, statistics, theorems in understanding real world problems that may arise while analyzing huge data. All the basic mathematics covered in this module are essential for approaching data problems.

This document is about database management using MongoDB.

This document helps to understand basics in Pandas and how to use it.

This Document is all about algorithms, programs, notations, binary search, stack, heap, type of heap, binary search tree, memory management in python and garbage collector. These topics will help understand basic logics used in solving problems.

This Document is about MySQL setting in your local computer and executing it from terminal