A collection of beginner-friendly data science projects, covering the full pipeline from data cleaning and exploratory analysis to model training and evaluation.
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Iris Flower Classification
- Supervised learning model to classify iris species using petal and sepal measurements.
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Sales Prediction
- Predictive model to forecast sales based on historical and regional data patterns.
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Unemployment Analysis
- Exploratory data analysis to understand trends and regional patterns in unemployment rates.
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- Building Machine Learning Models
- Model Evaluation & Interpretation
- Python
- Pandas, NumPy
- Matplotlib, Seaborn
- Scikit-learn
- Jupyter Notebooks
These projects are designed to demonstrate foundational concepts in data science and machine learning, making them ideal for those getting started with hands-on practice.