
Who should enroll in Object Oriented Programming?
Students, Novices, Programmers and anyone who wants to learn the basic of coding.
What you will learn
- Objects in OOPs
- Classes in OOPs
- Constructors and its Types
- Encapsulation & abstraction
- Inheritance in Python
- Polymorphism in Python
- Dealing with missing values in Python
- Python OOPs concept
- Types of Data Distribution
- Types of errors in Machine Learning
Technologies you'll Master

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Course Journey
Phase 1

Video lectures and live classes
Dive into 100+ video lectures to build a strong foundation starting from the very basics to advanced levels. 24/7 learning support from industry experts to clear up any conceptual doubts.Phase 2
Focus on Live Projects
Capstone projects using real-world data sets with virtual labs for practical training.
Phase 3

Resume building, Mock interviews
Learn to make ATS-proof Latex Resume to get in eyes of the Recruiter easily. Get trained by experts, clear mock tests and Comp-coding rounds to get ready for Interviews.Phase 4
Internship & Placement
Get the required pre job experience to make your profile stand out. Make your dream of working in the tech company of your choices true with 100% assured placements.
Who will teach?

Ishan Sharma

10+ Years of Industry Experience, Director at Perfect eLearning, ex. coke & nestle.

- Object Oriented Programming: Introduction to OOPs
- Constructors in Python
- Encapsulation And Abstraction in Python
- Inheritance And Polymorphism in Python
- Module Quiz and Assignment
- Python Tutorials
- Python OOPs Concepts
- Python Seaborn Tutorial
- Sets in Python Tutorial
- H2O Tutorial : Machine Learning Framework
- Types of data distribution
- Erros in Machine Learning Models
- Dealing with Missing Values in Python
- Understanding Machine Learning: Use Case Scenarios
- Project: Medical Cost Prediction
- Python Libraries Guides
- Matplotlib: Creating Static, Animated, and Interactive visualizations in Python
- Pandas: Analysing Data in Python
- *Args And **Kwargs: Passing a variable number of arguments to a Python function
- NumPy: Working with Arrays in Python
- Red Wine Project
- Project - Stop Watch