Pandas #pandas https://t.co/FiIpFPTCBN

GitHub repo Link :

This is just a basic version,but great for beginners to understand text analysis+api Integration. If you got any idea and enhancement let me know and if you have any questions feel free to ask.

2Displays results on a simple web interface using Flask Tech Used: Python Flask NLTK (for text cleaning) YouTube API HTML/CSS (basic UI) Why I built this: To understand how APIs work, how text data is processed, and how to build a small end-to-end project that can be deployed.

I created a small project that extracts comments from any YouTube video and analyzes them using Python. What it does: 1.Fetches comments from a YouTube video 2 Cleans & preprocesses the text 3.Performs sentiment analysis 4. Shows positive, negative & neutral comments

OVERFITTING PREVENTION TECHNIQUES #ML #machinelearningprojects #ai #artificialntelligence

Most Data Scientists get stuck on hypothesis testing... too many tests, unclear rules, endless confusion. I fixed that. After 3+ weeks of work, I built a 200+ page guide that covers: - Every hypothesis test (t-tests, chi-square, etc...) - Clear step-by-step examples for each

KARNATAKA DISTRICT WISE TRAVELLERS #Karnataka