Pandas Series Data Structure: Operations

Data Types and Language Semantics- Part1: Python Data Types, Variables, Tokens, Language Keywords

Linear Support Vector Machines (LSVMs)

ML for NLP

ML for NLP

Webinar on Software Architecture modeling in CCS structure and Interactions

MLCV ATAL workshop (Machine Learning: A Journey to Deep Neural Networks)

Pandas Data Frame: Attributes and Add/Delete/update Rows/Columns

Introduction to Numpy

Pandas Series Data Structure: Operations

Pandas Series Data structure: Creation and accessing

Accessing data from Pandas Data Frames

Pandas Data Frame Creation: From Lists, Numpy Arrays, Dictionary and excel files

Numpy for Statistical Operations: mean, std, var, weighted average, variance, peak to peak etc.

Numpy: Linear Algebra operations

Numpy: Basic Operations on Arrays

Numpy: Creation of 1-D, 2-D and 3-D Array Objects

Numpy: Array Indexing

Prims and Kruskal's Algorithms for Minimum Spanning Tree with Time complexity analysis

Python: Opening Files using "with: keyword

Python File Operations: Seek and Tell

Operations on Files and Folders using Python ( rename, remove, create etc;)

Python: Writing into Files

Python: Reading from Files

Adding Module PAths to syspath