https://github.com/adityajn105/al-algos-from-scratch
Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.
https://github.com/adityajn105/al-algos-from-scratch
ai-algorithm al-algos algorithms-implemented gradient-descent hacktoberfest machine-learning-algorithms python
Last synced: about 1 month ago
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Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.
- Host: GitHub
- URL: https://github.com/adityajn105/al-algos-from-scratch
- Owner: adityajn105
- License: gpl-3.0
- Created: 2019-07-07T14:23:24.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-10-12T09:55:38.000Z (over 4 years ago)
- Last Synced: 2025-03-27T02:39:20.048Z (about 2 months ago)
- Topics: ai-algorithm, al-algos, algorithms-implemented, gradient-descent, hacktoberfest, machine-learning-algorithms, python
- Language: Jupyter Notebook
- Homepage:
- Size: 956 KB
- Stars: 14
- Watchers: 0
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Support: Support Vector Machines/Readme.md
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README
# Al-Algos-from-Scratch
Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes. Here I will be using only numpy and some basic libraries only.
### Algorithms implemented:
1. [Basic Deep Neural Network using Gradient Descent for Backpropogation](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Basic%20Deep%20Neural%20Network/Basic%20NN.ipynb)
2. [Linear Regression](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Linear%20Regression/Linear%20Regression.ipynb)
3. [Logistic Regression](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Logistic%20Regression/Logistic%20Regression.ipynb)
4. [Logistic Regression using Gradient Descent](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/SGD%20Classifier/Logistic%20Regression%20(SGD).ipynb)
5. [Linear Regression using Gradient Descent](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/SGD%20Regression/Linear%20Regression%20(SGD).ipynb)
6. [Decision Tree Classifier](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Decision%20Tree%20Classifier/Decision%20Tree%20Classifier.ipynb)
7. [Decision Tree Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Decision%20Tree%20Regressor/Decision%20Tree%20Regressor.ipynb)
8. [Support Vector Machines](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Support%20Vector%20Machines/SVM%2BKernel%2BRBF%20-%20Mathematics.ipynb)
9. [Naive Bayes](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/NaiveBayes/NaiveBayes.ipynb)
10. [K-Nearest Neighbors Classifier/Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/K-Nearest%20Neighbour)
11. [K-means](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/K-Means%20Clustering/Kmeans.ipynb)
12. [Agglomerative Hierachical Clustering](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Agglomerative%20Clustering/Agglomerative%20Hierarchical%20Clustering.ipynb)
13. [Random Forest Classifier/Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/Random%20Forest)
14. [Density based spatial clustering for application with Noise](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/DBSCAN%20Clustering/DBSCAN.ipynb)
15. [Gradient Boosting Classifier/Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/Gradient%20Boosting)
16. [Meanshift Clustering](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/MeanShift/MeanShift.ipynb)