Python Project Ideas

🖥 Automatic Copy and Paste with Python

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

ENJOY LEARNING ✅️✅️

#datascienceprojects

Creating Virtual Environment for Python

» Download Python

First you need python installed in your local machine to create virtual environment.
Download Python from Here

» Steps to create '.env' folder (virtual environment for python)
1. Navigate to the folder where you want to make your project
Example:

cd D:/code/

2. Open terminal (local terminal, command prompt, or vs code terminal) in that folder

3. Now, use these commands

python --version # Type this and hit enter to verify the python version


# Now use these commands
python -m venv .env

4. Your virtual environment is created in that folder, now activate this virtual environment using this command.

Command for 'Command Prompt':

.\env\Scripts\activate

Command for 'Powershell':

.\env\Scripts\Activate.ps1

Command for Git Bash or WSL:

source \.env\bin\activate

If Powershell gives you error like File cannot be loaded because running scripts is disabled then use this command!

Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass

5. Congratulations🎊 Your virtual environment activated now make your project


Happy Coding 👨‍💻