Welcome to the Data Science Projects Alternate repository!
This series is a hands-on collection of real-world machine learning and data science projects designed to boost your skills in Python, data analysis, model building, and evaluation.
Each project in this repo includes:
- π§ Problem Statement
- π Dataset (or source link)
- π Exploratory Data Analysis (EDA)
- π οΈ Data Preprocessing
- π€ Model Building (Logistic Regression, SVM, Random Forest, etc.)
- π Performance Evaluation
- β Final Prediction Output
All projects are developed using Visual Studio Code (VS Code), making them perfect for learners and developers who prefer a professional, script-based workflow over notebooks.
Watch the step-by-step explanations and walkthroughs on my YouTube channel:
π AG YouTube Channel
- Python
- Pandas, NumPy
- Matplotlib, Seaborn
- Scikit-learn
- VS Code
Feel free to fork, clone, or contribute to this repository.
If you find it useful, donβt forget to star β the repo!