Python Projects & Free Books
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Python Project Ideas
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πŸ–₯ Automatic Copy and Paste with Python
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Here are 10 project ideas to work on for Data Analytics

1. Customer Churn Prediction: Predict customer churn for subscription-based services. Skills: EDA, classification models. Tools: Python, Scikit-Learn.
2. Retail Sales Forecasting: Forecast sales using historical data. Skills: Time series analysis. Tools: Python, Statsmodels.
3. Sentiment Analysis: Analyze sentiments in product reviews or tweets. Skills: Text processing, NLP. Tools: Python, NLTK.
4. Loan Approval Prediction: Predict loan approvals based on credit risk. Skills: Classification models. Tools: Python, Scikit-Learn.
5. COVID-19 Data Analysis: Explore and visualize COVID-19 trends. Skills: EDA, visualization. Tools: Python, Tableau.
6. Traffic Accident Analysis: Discover patterns in traffic accidents. Skills: Clustering, heatmaps. Tools: Python, Folium.
7. Movie Recommendation System: Build a recommendation system using user ratings. Skills: Collaborative filtering. Tools: Python, Scikit-Learn.
8. E-commerce Analysis: Analyze top-performing products in e-commerce. Skills: EDA, association rules. Tools: Python, Apriori.
9. Stock Market Analysis: Analyze stock trends using historical data. Skills: Moving averages, sentiment analysis. Tools: Python, Matplotlib.
10. Employee Attrition Analysis: Predict employee turnover. Skills: Classification models, HR analytics. Tools: Python, Scikit-Learn.

And this is how you can work on

Here’s a compact list of free resources for working on data analytics projects:

1. Datasets
β€’ Kaggle Datasets: Wide range of datasets and community discussions.
β€’ UCI Machine Learning Repository: Great for educational datasets.
β€’ Data.gov: U.S. government datasets (e.g., traffic, COVID-19).
2. Learning Platforms
β€’ YouTube: Channels like Data School and freeCodeCamp for tutorials.
β€’ 365DataScience: Data Science & AI Related Courses
3. Tools
β€’ Google Colab: Free Jupyter Notebooks for Python coding.
β€’ Tableau Public & Power BI Desktop: Free data visualization tools.
4. Project Resources
β€’ Kaggle Notebooks & GitHub: Code examples and project walk-throughs.
β€’ Data Analytics on Medium: Project guides and tutorials.

ENJOY LEARNING βœ…οΈβœ…οΈ

#datascienceprojects
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