Data Science & Machine Learning

Python
Python basics and essentials, PyCharm, Jupyter Notebook, Basic Packages and Data Processing, Numpy, Pandas, Regression, Classification, Clustering, Dimensionality Reduction, Data Frames, Matplotlib, Machine Learning, Seaborn - statistical data visualization, Real world problem solving, & Project.

Core Python
Introduction to Python, Unix Commands, PyCharm, Syntax, Conditional Statements, Looping, Control Statements, String Manipulation, Lists, Tuple, Dictionaries, Functions, Modules, Input-output, Exception Handling.

Advance Python
OOPS Concepts, Regular Expressions, CGI, Data Base, MySQL, Networking, Multithreading, GUI Programming, Tkinter.

Django Framework
HTML, CSS, JavaScript, AJAX, MVC, Web Site Management, Migrations, Database Connectivity, Change Database, View Functions, Redirecting, Rendering, URL Configuration, Django Shell, Django REST, Course Project.

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