DSA CHEATSHEET 📈🔥📔

AI & Data Scientist Roadmap ✌️

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Python Dev Roadmap ✌️

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Unlock the Power of Data Structures & Algorithms! 🚀

📌 What’s inside?

⚡️| Clear concepts
⚡️| Step-by-step examples
⚡️| Handy notes
⚡️| For all levels

AI Notes PDF is here 📚✍️

Inside you’ll get:
🧠 AI & Machine Learning basics
📊 Important algorithms
🌍 Real-world examples
📝 Quick revision notes

Perfect for beginners & freshers.
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Dropping This Extensions Source Code 🔥

How to import a custom Chrome extension

1️⃣ Open Chrome
2️⃣ Go to chrome://extensions/
3️⃣ Turn ON Developer mode (top right)
4️⃣ Click Load unpacked
5️⃣ Select your extension folder
6️⃣ Done

Just tested a local AI agent that actually works on your files 🤖

It runs entirely on your computer—no cloud, no data uploads, fully open source.
Watched it organize my messy downloads folder in seconds. Every action needed my approval. Pretty interesting for anyone who cares about privacy and local-first tools.

🎥 Watch the demo: https://www.instagram.com/reel/DUp9DLOACQR/
🔗 Try it yourself:
⚡️| Website: https://www.openwork.me/
⚡️| GitHub: https://github.com/accomplish-ai/openwork

#OpenSource #AI #Privacy #LocalFirst

SQL Notes 📝

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Learn Python Basics with Fun Programs!🔥

Python eBook + 99 Projects: Download Now

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NumPy Notes 📝

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Python Notes PDF ✌️

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Try these Premium: Python Notes

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NumPy is one of the most important libraries in Python for data science, machine learning, and data analysis.

This NumPy Cheatsheet that covers all essential concepts in a simple and beginner-friendly way — from creating arrays to operations, reshaping, filtering, and more.

You can use it as a quick reference while learning or building projects.

React ❤️ For Pandas Next :)

Data Scientist Roadmap 📈

📂 Python Basics
∟📂 Numpy & Pandas
∟📂 Data Cleaning
∟📂 Data Visualization (Seaborn, Plotly)
∟📂 Statistics & Probability
∟📂 Machine Learning (Sklearn)
∟📂 Deep Learning (TensorFlow / PyTorch)
∟📂 Model Deployment
∟📂 Real-World Projects
∟✅ Apply for Data Science Roles

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Credit Fraud Detector: https://www.kaggle.com/code/janiobachmann/credit-fraud-dealing-with-imbalanced-datasets/notebook#notebook-container

TELECOM CUSTOMER CHURN PREDICTION:
https://www.kaggle.com/code/bhartiprasad17/customer-churn-prediction#-Content

Movie Recommendation System:
https://www.kaggle.com/code/ayushimishra2809/movie-recommendation-system#Movie-Recommendation

News Sentiment and Stock Market Correlation Analysis:
https://github.com/dagiteferi/Financial-News-Sentiment-Stock-Market-Correlation-Analysis

House Prices Prediction:
https://www.kaggle.com/code/gusthema/house-prices-prediction-using-tfdf/notebook#House-Prices-Prediction-using-TensorFlow-Decision-Forests

Virtual Env in Python

Data Structures Handwritten Notes 📚

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