https://github.com/04bhavyaa/machine-learning-from-scratch
https://github.com/04bhavyaa/machine-learning-from-scratch
machine-learning matplotlib numpy pandas seaborn
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/04bhavyaa/machine-learning-from-scratch
- Owner: 04bhavyaa
- Created: 2024-12-15T04:50:03.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-02T14:42:59.000Z (over 1 year ago)
- Last Synced: 2025-08-27T22:57:01.549Z (10 months ago)
- Topics: machine-learning, matplotlib, numpy, pandas, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 3.71 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: READme.md
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README
## Machine Learning from Scratch
* __Day 1 (151224)__
* Simple Linear Regression (using scikit-learn and by creating class on my own)
* Regression Metrics (MSE, MAE, RMSE | R2 Score, Adjusted R2 Score)
* __Day 2 (181224)__
* APIs with examples
* Web Scraping (BeautifulSoup etc)
* File Handling (csv, json, xml, xlxs)
* Basic Data Analysis (Diabetes Dataset)
* __Day 3 (201224)__
* Basics of Python
* Condtitional Statements
* List, Tuple, Set, Dictionary
* Loops
* Operators
* __Day 4 (241224)__
* Libraries tutorial
* Matplotlib, Numpy, Pandas, Seaborn
* __Day 5 (271224)__
* Use Cases
* Diabetes prediction
* Rock Mine Prediction
* __Day 6 (291224)__
* Math for Machine Learning
* Vectors (Operations on Vectors)
* __Day 7 (020125)__
* Math for Machine Learning
* Vectors (Dot Product, Cross Product, Projection of a vector)