Welcome to my Machine Learning Daily Journal!
This repository is a personal log of my day-to-day learning, practice, and progress as I dive deeper into the world of Machine Learning.
The goal of this repo is to:
- Track my daily learning and projects
- Organize notes, code, and insights in one place
- Build a solid foundation in ML step-by-step
- Share my journey with anyone who’s interested
| Day | Topics Covered |
|---|---|
| Day 1 | Handling Missing Values |
| Day 2 | Data Standardization |
| Day 3 | Label Encoding |
| Day 4 | Train and Test Split |
| Day 5 | Tfidf Vectorizer |
| Day 6 | Rock v/s Mine Project |
| Day 7 | Gold Price Prediction |
| Day 8 | Car Price Model |
| Day 9 | Heart Disease Prediction |
| Day 10 | Credit Card Fraud Detection |
| Day 11 | Customer Segmentation |
| Day 12 | Vector Operations |
| Day 13 | Basic Matrix |
| Day 14 | Matrix Operation |
| Day 15 | K Fold Cross Validation |
| Day 16 | Coming Soon..... |
--
Some of the tools/libraries I’ll frequently use include:
- Python 🐍
- NumPy, Pandas
- Matplotlib, Seaborn
- Scikit-learn
- Jupyter Notebooks
- TensorFlow / PyTorch (later on)
This is a personal learning project, but if you spot errors or want to share suggestions, feel free to open an issue or PR!
Feel free to connect or ask questions!
📧 Email: [[email protected]]
💼 LinkedIn:[www.linkedin.com/in/swarup-dash-59538a28a]
🐦 Twitter/X:[https://x.com/swarupsD21]