Courses@Infosys Springboard

Basics of Python (July 23, 2024)

📚 Key Topics Covered:

1. Data Types, Variables, and Operators:

• Understanding how to work with different data types and utilize variables and operators effectively.

2. Programming Constructs and Collections:

• Learning about selection constructs (if statements), iteration constructs (loops), and collections (like lists and dictionaries).

1. Course Certificate: Infosys Springboard - Basics of Python
2. Course URL: Infosys Springboard - Basics of Python

Python for Data Science

📚 Key Topics Covered:

1. Numpy:

• Working with arrays and performing operations on numerical data.

2. Pandas:

• Loading, exploring, and manipulating datasets, and deriving statistical outcomes.

3. Matplotlib:

• Visualizing data with different types of plots.

4. Scikit-learn:

• Building machine learning models for predictive analysis.

1. Course Certificate: Infosys Springboard - Python for Data Science
2. Course URL: Infosys Springboard - Python for Data Science

Development Environment used for Practice Assignment

This project was developed using Google Colab, a cloud-based platform that allows easy coding, sharing, and access to free GPUs for faster computations.

Check out My Projects & Resume

1. Personal Website: https://nishchal-kansara.web.app/
2. Resume: https://nishchal-kansara.web.app/resume.html

Connect with me on LinkedIn: Nishchal Kansara