https://github.com/praful932/machine-learning-implementations
Repository contains Implementations of Popular Machine Learning Algorithms from scratch in Python
https://github.com/praful932/machine-learning-implementations
deep-learning hacktoberfest hacktoberfest2020 machine-learning machine-learning-algorithms ml
Last synced: about 1 year ago
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Repository contains Implementations of Popular Machine Learning Algorithms from scratch in Python
- Host: GitHub
- URL: https://github.com/praful932/machine-learning-implementations
- Owner: Praful932
- Created: 2019-09-12T03:21:45.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2020-10-18T18:02:04.000Z (over 5 years ago)
- Last Synced: 2025-03-24T11:56:54.999Z (about 1 year ago)
- Topics: deep-learning, hacktoberfest, hacktoberfest2020, machine-learning, machine-learning-algorithms, ml
- Language: Jupyter Notebook
- Homepage:
- Size: 19.6 MB
- Stars: 7
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Contributing: Contributing.md
- Support: Support Vector Machines/.ipynb_checkpoints/Support Vector Machines-checkpoint.ipynb
Awesome Lists containing this project
README
# Machine-Learning-Implementations
This Repository contains Implementation of Popular Machine Learning Algorithms in Python from Scratch
### Anomaly Detection
**Implement Anomaly Detection Algorithm to detect failing servers on a network.**
### K Means Clustering and Principal Component Analysis
**Use Kmeans Clustering Algorithm to Compress an image.**
**Use PCA to find low dimensional representation of face images.**
### Linear Regression
**Use Linear Regression to Predict the price of Houses.**
### Logisitic Regression
**Use Logisitic Regression to predict whether a students gets into the university or not.**
### Multi Class Classification
**Use One-vs-All Logistic Regression to recognize hand written digits.**
### Neural Networks
**Implement BackProp Algorithm on the classic MNIST Database.**
### Recommender Systems
**Implement the Collaborative Filtering Learning Algorithm and apply it to a dataset of movie ratings to recommend movies to the user**
### Support Vector Machines
**Use SVMs to build a spam classifer**
### Debugging a Learning Algorithm
**Implement Regularized Linear Regression and use it to study models with different bias-variance properties**