Why this course?

Description

About the Program
This Python Masterclass is a comprehensive sessions covering the fundamentals to Advanced Level Expertise in Python Programming. Starting from the Installation , Scripting , Variables , Functions , Call , Libraries , Data Sets Handling , Plotting , Keras , Algorithms and much more , learners will have complete insight into Python Programming - Basic to Advanced

What Youll Get  

✅Recorded videos ,Online support through forums 
✅All Video access for 3 Months
✅Download all source code
✅PPTs
✅Course completion Certificate
✅Assignments
✅10+ Projects

Agenda of the Program 

• Module 1  Introduction to Python
• Module 2  Python – Tools|Syntaxes & Data Structures
• Module 3  Python – Dictionaries,Date and Time
• Module 4  Python – MySql
• Module 5  Pandas library – Introduction
• Module 6  Pandas library – Data Structures
• Module 7  Numpy library – Introduction
• Module 8  Numpy library – Array Manipulations, Mathematical Functions
• Module 9  Matplotlib , Histogram Using Matplotlib | I/O With Numpy
• Module 10  Matplotlib Library - Introduction , Pyplot API | Types Of Plots
• Module 11  Seaborn Library
• Module 12  SKLearn Library
• Module 13  Python – Date and Time , Data Wrangling.
• Module 14  Python – Data Cleansing
• Module 15  Python – Word Tokenization , Stemming and Lammetization.
• Module 16  Python – Data Visualization
• Module 17  Python – Statistical Analysis
• Module 18  Python – Types Of Distribution
• Module 19  Python – Correlation ,Chi-Square Test , Linear Regression
• Module 20  Keras library – Introduction.
• Module 21  Stock Price Prediction With Machine Learning LSTM RNN
• Module 22  People’s behavior in chat message using NLP NLP
• Module 23  Snake game in Python - Using Pygame module
• Module 24  ChatBot creation in Python NLP
• Module 25  Electricity Price Prediction Using ML Random Forest Regressor
• Module 26  Diamond Price Prediction Using Python Linear Regression
• Module 27  Earthquake Prediction Model Neural networks
• Module 28  Colour Recognition with Machine Learning OpenCV
• Module 29  Titanic Survival Analysis Using ML Logistic Regression
• Module 30  Block-Chain in Python