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]
Introduction to clustering [K - Means Clustering ]
K - Means Clustering
Setting up the environment
Python For Absolute Beginners : Setting up the Environment : Anaconda
Python For Absolute Beginners : Variables , Lists, Tuples , Dictionary
Conditions , Loops
(Sequence , Selection, Repetition/Iteration)
File Handling in Python
Introduction to Software Design - Problem Solving
Software Design - Flowcharts - Sequence
Software Design - Modular Design
Software Design - Repetition
Flowcharts Questions and Answers # Problem Solving