DataScience-with-Python-

All my hands-on learning from CodeWithHarry's Data Science course + personal projects

Data Science with Python – Full Learning Journey

This repository contains my full hands-on learning from the "CodeWithHarry - Data Science with Python" course on YouTube.
I’ve also added my own personal projects, exercises, notes, and datasets as I progress.

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Folder Overview

01-python-basics
→ Variables, Loops, Conditions, Functions, OOP, File handling

02-numpy
→ Array creation, indexing, reshaping, operations, broadcasting

03-pandas
→ DataFrame creation, cleaning, merging, grouping, reading from CSV

04-visualization
→ Matplotlib, Seaborn – bar charts, line plots, scatter plots, heatmaps

05-ml-basics
→ Supervised learning: Linear Regression, Logistic Regression, KNN, train_test_split

06-projects
→ All projects created during the course and extra personal projects

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Skills Learned

• Python programming for data analysis
• Data cleaning and preprocessing
• Visualization using Matplotlib and Seaborn
• Working with real-world datasets using Pandas
• Basics of Machine Learning using Scikit-learn
• Hands-on experience through mini and major projects

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Projects Included

Rock Paper Scissors – Console-based game using Python logic
Voice Assistant – Responds to your voice commands using speech recognition
IPL Data Analysis – Visualize team and player performance
Netflix Data EDA – Analyze Netflix titles and trends
Titanic ML Model – Predict survival using classification
House Price Predictor – Linear Regression on real estate data
Movie Recommender – Suggest movies using similarity scores

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Learning Source

CodeWithHarry - Data Science with Python Course

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Connect with Me

GitHub: https://github.com/Tushar-svg LinkedIn: https://www.linkedin.com/in/tushar-jangra611

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