Why this course?

Description

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

What You'll Get 

✅Recorded videos, Online support through forums
✅All Video access for 3 Months
✅Download all source code
✅PPTs
✅Course Completion E-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, Py plot 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 Lemmatization.
• 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-Kera's library – Introduction.
• Module 21-Stock Price Prediction with Machine Learning LSTM RNN
• Module 22-People’s behavior in chat message using NLP.
• Module 23-Snake game in Python - Using Py game 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-Color Recognition with Machine Learning OpenCV
• Module 29-Titanic Survival Analysis Using ML Logistic Regression
• Module 30-Block-Chain in Python