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View Code? Open in Web Editor NEWMachine Learning Algorithms implemented in various languages from scratch
License: MIT License
Machine Learning Algorithms implemented in various languages from scratch
License: MIT License
Get in touch if you would like to work together. Contact Me.
Design KNN Algorithm in using C++ from scratch.
Follow all guidelines on Readme
Implement KNN from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Decision Tree from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Linear Regression from Scratch in the following languages:
Follow guidelines on Readme
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Linear Regression from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement KNN from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement KNN from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Logistic Regression from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Decision Tree from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Decision Tree from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Linear Regression from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Naive Bias in Python
Implement Random Forrest from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Random Forest in any language of choice. First create an issue using the given template and follow guidelines on Readme
Implement Decision Tree from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
There are three changes -
Implement the KNN Algorithm from scratch in the following languages:
Follow guidelines on Readme
Implement any Machine learning algorithm from scratch in language of your choice
Implement Linear Regression from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Decision Tree from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Logistic Regression from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
ML Algorithm Name: Linear Regression
Language: Java
ML Algorithm Name: Linear Regression
Language: C
Added momentum-based learning to weight optimization, which leads to a smoother graph, faster convergence, and better accuracy.
Also, solved the Runtime warning in Program execution. the warning was because of a division by zero error.
Implement a Machine Learning Algorithm from scratch for using Libraries and save it at an appropriate location.
Follow Guidelines mentioned on README
For Python file created from Scratch:
For Python file created using ML Modules:
```[root]/UsingLibs/[Algorithm]/[Language]/[File]"
For Notebook from Scratch:
```[root]/Notebooks/[Algorithm]/[File]"
For Notebook created using ML Modules:
```[root]/Notebooks/UsingLibs/[Algorithm]/[File]"
Implement SVM algorithm in any language of choice. First create an issue using the given template and follow guidelines on Readme
Create a Python Notebook for to demonstrate:
save it at:
[root]/Notebooks/UsingLibs/[Algorithm Name]/[Algorithm].ipynb
Create a new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Random Forrest from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
There are few files in the root directory. Please read through Readme and #66 and move those files to right directories
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
ML Algorithm Name: linear Regression
Language: python
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement any ML Algorithm in any language of choice. First create an issue using the given template and follow guidelines on Readme
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
Implement Gradient Descent from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
There are few files in the root directory when there shouldn't be. I have clearly mentioned the right location for files in Readme please read through that, fix them and create PR.
I would highly appreciate PR from a newbie, please craft a good PR with an explanation. Purpose of this issue is to introduce newbies to FOSS
Create a Python Notebook for to demonstrate:
save it at:
[root]/Notebooks/UsingLibs/[Algorithm Name]/[Algorithm].ipynb
Create a new issue according to the template if you would like to implement a different algorithm (or) in a different language.
ML Algorithm Name: Neural Networks
Language: Python
ML Algorithm Name: Modular Neural Network Design
Language: Python
Implement Linear Regression from scratch in
Create new issue according to the template if you would like to implement a different algorithm (or) in a different language.
ML Algorithm Name: Logistic regression
Language: Python
Random Forest Classifier
Python
ML Algorithm Name:
Linear Regression with Regularization
Added extra prompts too, for better outputs while program execution.
Language:
python.
Do the following:-
LOGISTIC REGRESSION
from root directoryImprove Readme:
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