Data Science · ML · Analytics
Real-world data science experiments built in public. From YouTube trend analysis to bio-signal processing — explore, learn, and contribute.
Open-source machine learning and data science projects in various stages.
Analysis of YouTube trending videos using the YouTube Data API v3. Identifies patterns in views, engagement ratios, and topic popularity across 15,000+ video records.
15,000
Data Points
94%
Accuracy
NLP-based sentiment classification system trained on 50,000 product reviews. Uses DistilBERT fine-tuned on SST-2 dataset. Achieves 89% F1 score on held-out test set.
50,000
Data Points
89%
Accuracy
Processing and visualization pipeline for wearable sensor data. Handles heart rate, sleep stage classification, and stress index calculation from HRV features.
2,000
Data Points
96%
Accuracy
Interactive tool for browsing, filtering, and visualizing public datasets from WHO, World Bank, and government open data portals. Planned for Q3 2026.
100
Data Points
N/A
Accuracy
Top growing topics on YouTube in 2026 — illustrative data based on publicly reported trends and industry research.
⚠️ Illustrative data — not from live YouTube API. Sample figures for demonstration purposes.
| # | Topic | Total Views | YoY Growth | Category |
|---|---|---|---|---|
| 1 | AI & Machine Learning | 2.4B | +340% | Technology |
| 2 | Health & Wellness Tracking | 1.8B | +210% | Health |
| 3 | Data Science Tutorials | 980M | +178% | Education |
| 4 | Python Programming | 870M | +155% | Tech/Edu |
| 5 | Sleep Optimization | 640M | +132% | Health |
* Mock data for demonstration. Real data via YouTube Data API v3.
Real-time sentiment analysis on trending Twitter/X topics.
Planned Q2 2026Interactive visualization of WHO global health datasets.
Planned Q3 2026Correlating news sentiment with Bitcoin/Ethereum price movements.
Planned Q3 2026Data Lab showcases interactive data-science dashboards and visualisations built with React and Recharts.
The featured figures are illustrative sample data for demonstration, not live API feeds.
They are built with Next.js, TypeScript and Recharts, pre-rendered as static HTML for speed and SEO.
Yes — the CSV to Chart tool lets you upload a CSV and build line, bar or area charts in your browser.
Yes. Everything is free with no signup.
Yes. Charts are responsive and adapt to phone and tablet screens.
Patterns for building fast, SEO-friendly data dashboards and turning raw CSV data into clear visualisations.
The blog covers data visualisation, Recharts, pandas and dashboard-building tutorials that complement these demos.