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Niketkumardheeryan / repository
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
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This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
ML-CaPsule is a comprehensive, open-source learning hub for aspiring and experienced data science enthusiasts. Whether you lack a mentor or want structured, project-based learning — this repository helps you master Machine Learning, Deep Learning, NLP, Computer Vision, and more through 500+ real-world projects.
💡 No mentor? No problem. Learn by building, become interview-ready, and grow with a thriving open-source community.
| 📈 | Why Machine Learning? | 🗂️ |
| 📚 | Pre-requisites | 📦 |
| ⭐ | Featured Projects | 📂 |
| 🔗 | Useful URLs | 🚀 |
| ⚙️ | Contribution Guidelines | 📖 |
| ✨ | Contributors | ❤️ |
| 🔍 | Notebook Health Check | 📝 |
Machine learning automates analytical model building — enabling systems to learn from data, identify patterns, and make decisions with minimal human intervention. It sits at the heart of modern AI.
| Benefit | Impact |
|---|---|
| 🔍 Pattern Discovery | Uncover hidden trends in massive datasets |
| ⚡ Automation | Reduce manual analysis and repetitive tasks |
| 🎯 Personalization | Power recommendations at Netflix, Amazon & Spotify |
| 🏥 Healthcare | Early disease detection & medical imaging |
| 💼 Business Edge | Used by Google, Meta, Uber as a competitive differentiator |
| Step | Resource | Link |
|---|---|---|
| 1️⃣ | Install Python | python.org |
| 2️⃣ | Learn Python Basics | W3Schools Python ML |
| 3️⃣ | ML with Python Course | freeCodeCamp ML |
R is an open-source language built for statistical computing, data analytics, and scientific research.
| # | Course | Link |
|---|---|---|
| 1 | R Programming Full Course (freeCodeCamp) | Watch → |
| 2 | R Basics Tutorial (Edureka) | Watch → |
| 3 | Data Science with R (Simplilearn) | Watch → |
| 4 | Intro to R for Data Science (DataCamp) | Watch → |
Methods for constructing variable combinations to describe data accurately.
Expose patterns, trends & correlations visually.
Select relevant features to boost model accuracy.
| Area | Topics |
|---|---|
| Analytics | Descriptive, Diagnostic, Predictive, Prescriptive |
| Probability | Conditional, Bayes' Theorem, Distributions |
| Central Tendency | Mean, Mode, Variance, Skewness, Kurtosis |
| Hypothesis Testing | Z-Test, T-Test, ANOVA, Chi-Square |
| Regression | Linear & Multiple Linear Regression |
Multidisciplinary field combining statistics, ML, computing, and domain expertise to extract insights and drive decisions across industries.
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | Titanic | Predict passenger survival | ⭐ | Kaggle |
| 2 | Iris Flower | Classify 3 iris species | ⭐ | UCI |
| 3 | Breast Cancer Wisconsin | Malignant vs benign tumors | ⭐ | UCI |
| 4 | Heart Disease | Predict from clinical features | ⭐⭐ | UCI |
| 5 | Pima Indians Diabetes | Diabetes onset prediction | ⭐ | Kaggle |
| 6 | Adult Income | Income >$50K prediction | ⭐⭐ | UCI |
| 7 | Bank Marketing | Term deposit subscription | ⭐⭐ | UCI |
| 8 | Wine Quality | Good vs bad wine classification | ⭐ | UCI |
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | Boston Housing | Predict housing prices | ⭐ | Kaggle |
| 2 | California Housing | Median house values | ⭐ | Kaggle |
| 3 | House Prices | 79-variable price prediction | ⭐⭐ | Kaggle |
| 4 | Auto MPG | Fuel efficiency prediction | ⭐ | UCI |
| 5 | Student Performance | Exam score prediction | ⭐ | UCI |
| 6 | Medical Cost | Insurance charge prediction | ⭐ | Kaggle |
| 7 | Bike Sharing Demand | Hourly |