Welcome to the Data-analysis repository! 🚀
This collection showcases my journey and hands-on learning in data analytics, featuring diverse projects from real-world datasets, exploratory analysis, model building, and interactive dashboards.
This repository contains a curated list of data analytics projects created to:
- Explore datasets from various domains (e-commerce, games, finance, healthcare, agriculture, and more)
- Practice data cleaning, visualization, statistical analysis, and predictive modeling
- Apply tools such as Jupyter Notebook and HTML to deliver practical solutions and visualizations
Below are some highlight projects you’ll find here:
- Amazon Electronics Products Sales: Data analysis on sales trends of electronics products.
- Android-games-trends: Studying installs, ratings, and trends of Android games.
- Automobile-MPG-Dataset-Analysis: Insights and predictions from automobile fuel efficiency datasets.
- Calories-expidition: Exploration of calorie datasets for health analysis.
- Comment-Sentiment-Analysis: Sentiment classification and visualization from user comments.
- Compare: Comparative analytics between selected datasets.
- Crop-production: Agricultural data analysis for crop yield trends.
- Flight-delay: Delay prediction and pattern analysis from flight records.
- Flight-track-Prediction: Modeling and prediction of flight paths.
- Foodpanda-analysis: Order and customer analysis for Foodpanda.
- GDP: Economic trend analysis based on GDP data.
- IMDB-movie-data: Movie analytics including ratings, genres, and trends.
- Indian-names-analysis: Exploratory analysis of Indian names and patterns.
- Jojo-Stand-ranking: Fun ranking and visualization for Jojo’s Bizarre Adventure stands.
- LOL-predictor: League of Legends outcome predictions and game stats analysis.
- Loan-prediction: Predictive modeling on loan approval datasets.
- Netflix-stock-prediction: Time-series prediction and trend visualization for Netflix stock.
- Netflix-streaming: Data insights on streaming habits and stats.
- Personality: Analytical models for personality classification.
- Resume-job: Resume and job correlation analytics.
- Taylor-Prediction: Data-driven predictions and analysis for Taylor Swift trends.
- Valorant-champions-analysis: Esports analytics for Valorant champions.
- apple_stocks: Apple Inc. stock data analysis and prediction.
- cancer-risk-analysis: Risk factor classification using cancer datasets.
- car_sales_visualizations: Visualization dashboards for car sales.
- earthquake analysis: Seismic activity analytics and forecasting models.
- heart-health-prediction: Heart health risk factor analysis.
- hospital-bed-management: Healthcare resource allocation and optimization.
- insurance & medical-insurance: Insurance analytics and predictive models.
- wine-prediction: Wine quality prediction using machine learning.
- Jupyter Notebook (Primary, ~87%)
- HTML (for interactive visualizations, ~13%)
- Python (pandas, numpy, scikit-learn, matplotlib, seaborn, plotly, etc.)
Simply clone the repository and open any project folder in Jupyter Notebook. Each folder includes relevant notebooks, datasets, and visualization outputs for easy review.
git clone https://github.com/Beastsoul123/Data-analysis.gitFeedback, forks, and suggestions are welcome!
Feel free to explore, use these projects for learning, and connect if you have additional ideas or questions.
This repository is for educational and personal learning use.
No formal license is published.