https://github.com/suji04/ml_from_scratch
Implementation of basic ML algorithms from scratch in python...
https://github.com/suji04/ml_from_scratch
decision-tree-classifier decision-tree-regression gradient-descent k-means-clustering knn-algorithm linear-regression logistic-regression python stochastic-gradient-descent youtube-channel
Last synced: 3 months ago
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Implementation of basic ML algorithms from scratch in python...
- Host: GitHub
- URL: https://github.com/suji04/ml_from_scratch
- Owner: Suji04
- Created: 2019-03-11T07:16:40.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-02-26T14:40:17.000Z (over 4 years ago)
- Last Synced: 2025-04-06T09:08:18.343Z (3 months ago)
- Topics: decision-tree-classifier, decision-tree-regression, gradient-descent, k-means-clustering, knn-algorithm, linear-regression, logistic-regression, python, stochastic-gradient-descent, youtube-channel
- Language: Jupyter Notebook
- Homepage: https://www.youtube.com/NormalizedNerd
- Size: 540 KB
- Stars: 293
- Watchers: 5
- Forks: 229
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ML_from_Scratch
Trying to implement basic ml algorithms from scratch in python. I have also made videos explaining these algorithms...## Gradient Descent
[](https://youtu.be/36zkIAAUcZ4)
[](https://youtu.be/41BiBUZbg9U)## Linear Regression
[](https://youtu.be/fnDO1s4fzi4)## Logistic Regression
[](https://youtu.be/NtjAeXppomA)## Stochastic Gradient Descent
[](https://youtu.be/V8InSDYHG4s)## KNN
[](https://youtu.be/0RwM2BaLNkE)## K-means
[](https://youtu.be/IB9WfafBmjk)## Decision Tree Classification
[](https://youtu.be/ZVR2Way4nwQ)
[](https://youtu.be/sgQAhG5Q7iY)## Decision Tree Regression
[](https://youtu.be/UhY5vPfQIrA)
[](https://youtu.be/P2ZB8c5Ha1Q)## Naive Bayes Classification
[](https://youtu.be/lFJbZ6LVxN8)
[](https://youtu.be/3I8oX3OUL6I)## Data source
- airfoil_noise_data.csv (converted from the .dat file available at https://archive.ics.uci.edu/ml/datasets/airfoil+self-noise)Donor:
Dr Roberto Lopez
robertolopez '@' intelnics.com
Intelnics
Creators:
Thomas F. Brooks, D. Stuart Pope and Michael A. Marcolini
NASA
- Breast_cancer_data.csv (taken from https://www.kaggle.com/merishnasuwal/breast-cancer-prediction-dataset)