At the end of the Course you will understand the basics of Python Programming and the basics of Data Science & Machine learning.

The course will have step by step guidance for machine learning & Data Science with Python.

You can enhance your core programming skills to reach the advanced level. You will learn about Software Design as well. eg: Flow charts, pseudacodes, algorithms. By the end of these videos, you will get the understanding of following areas the

Setting up the Environment for Python Machine Learning

Understanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)

Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate Selection

Data Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..

Artificial Neural Networks with Python, KERAS

KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step

Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]

Naive Bayes Classifier with Python [Lecture & Demo]

Linear regression

Logistic regression

Introduction to clustering [K - Means Clustering ]

K - Means Clustering

• Python Programming

  Setting up the environment

  Python For Absolute Beginners : Setting up the Environment : Anaconda

  Python For Absolute Beginners : Variables , Lists, Tuples , Dictionary

• Boolean operations

• Conditions , Loops

• (Sequence , Selection, Repetition/Iteration)

• Functions

• File Handling in Python

• Flow Charts

• Algorithms

• Modular Design

• Introduction to Software Design - Problem Solving

  Software Design - Flowcharts - Sequence

  Software Design - Modular Design

  Software Design - Repetition

  Flowcharts Questions and Answers # Problem Solving