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Welcome to the world of Algorithms
Here you will find all standard and out of box
Algorithms of the field
We have implemented all the algorithms of the book: machine learning - an algorithmic perspective
Get all the algorithms you need and build the algorithms you can to help.| Algorithm | Python | C++ | Javascript |
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| Linear Regression |  |
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| Gradient Descent | |||
| Naive Bayes | |||
| SVM | |||
| Random Forest Regression | |||
| Logistic Regression | |
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| K Means | |
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| Perceptron Classifier | |
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| Apriori | |
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| Hierarchical clustering | |
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| Artificial neural network | |
book: machine learning - an algorithmic perspective
Our mission is to spread the power of AI. Training the machines to create stuff is our Caffeine.
- Create a folder with the name of respective algorithm.
- Add your code there.
- Create a folder of Test cases and include your test cases there.
- Follow proper indentation.
- Create a README file for your work.