NandanKumar07 / Data_Science-Machine_Learning

The code covers fundamental Python concepts and popular libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data visualization.

Data Science and Machine Learning Repository

This repository contains code from the book "Machine Learning using Python" by Manaranjan Pradhan & U Dinesh Kumar. The code covers fundamental Python concepts and popular libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data visualization.

Additionally, it includes code from the "Exploratory Data Analysis (EDA) & Data Visualization" course from Scaler Topics. The course link is here.

Content

Python Basics

• Basic Python code covering essential concepts.

Data Science Libraries

• Code demonstrating the use of NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.

Exploratory Data Analysis (EDA)

• Exploratory Data Analysis code from the Scaler Topics course.

Iris Dataset Visualization

• Data visualization code specifically applied to the Iris dataset.

IPL Dataset Visualization

• Worked on IPL Dataset for Visualise the Data.

About the Book

The code in this repository is based on the book "Machine Learning using Python" by Manaranjan Pradhan & U Dinesh Kumar. You can find the book on Amazon.

Course Information

Explore the concepts of Exploratory Data Analysis (EDA) and Data Visualization in the course provided by Scaler Topics. Course Link

Usage

Feel free to explore and use the code in this repository for learning and reference purposes. Contributions and improvements are welcome!

License

This project is licensed under the Copyright 2023 InterviewBit Technologies Pvt. Ltd. All Rights Reserved.