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This repository contains the projects and classwork I have completed as part of my Machine Learning course. The projects include implementations of supervised, unsupervised, and convolutional neural networks to solve various real-world problems.

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.gitignore
.gitignore
 
 
Convolutional neural network.ipynb
Convolutional neural network.ipynb
 
 
Decision trees.ipynb
Decision trees.ipynb
 
 
L2 regularization of the load_diabetes.ipynb
L2 regularization of the load_diabetes.ipynb
 
 
ML-Gradient Descent Method.ipynb
ML-Gradient Descent Method.ipynb
 
 
MNIST handwriting MLP Classifier.ipynb
MNIST handwriting MLP Classifier.ipynb
 
 
Neural Network from scratch using backpropagation algorithm.ipynb
Neural Network from scratch using backpropagation algorithm.ipynb
 
 
Programming a Kernel SVM Mini Project 2.ipynb
Programming a Kernel SVM Mini Project 2.ipynb
 
 
README.md
README.md
 
 
Unsupervised learning.ipynb
Unsupervised learning.ipynb
 
 
gradientboostingdecisiontree.ipynb
gradientboostingdecisiontree.ipynb
 
 
iris_data.ipynb
iris_data.ipynb
 
 
keras.ipynb
keras.ipynb
 
 
kernel SVM iris dataset.ipynb
kernel SVM iris dataset.ipynb
 
 
kneighbors supoerviused.ipynb
kneighbors supoerviused.ipynb
 
 
linear model.ipynb
linear model.ipynb
 
 
logistic regression.ipynb
logistic regression.ipynb
 
 
multiple features linear regression.ipynb
multiple features linear regression.ipynb
 
 
one feature linear regression.ipynb
one feature linear regression.ipynb
 
 
pandas and matplotlib.ipynb
pandas and matplotlib.ipynb
 
 
pipelining in ML.ipynb
pipelining in ML.ipynb
 
 
supervised learning linear rgeression.ipynb
supervised learning linear rgeression.ipynb
 
 
support vector machine.ipynb
support vector machine.ipynb
 
 
tensorflow practice.ipynb
tensorflow practice.ipynb
 
 
tkinter practice.ipynb
tkinter practice.ipynb
 
 

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Machine-Learning-Projects

This repository contains the projects and classwork I have completed as part of my Machine Learning course. The projects include implementations of supervised, unsupervised, and convolutional neural networks to solve various real-world problems.

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This repository contains the projects and classwork I have completed as part of my Machine Learning course. The projects include implementations of supervised, unsupervised, and convolutional neural networks to solve various real-world problems.

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