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1. SVM_Spam_Classification SVM_Spam_Classification Public

   This a very simple SVM Spam Emails Classification problem, I used Sklearn library to train the model and get better results

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2. Simple_Linear_Regression_From_Scratch Simple_Linear_Regression_From_Scratch Public

   I have applied the fundamental idea of Linear Regression with Single Variable input. I implemented the Gradian Descent algorithm simply from scratch with no libraries such as Scikit-Learn. I just u…

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3. K_Means_From_Scratch K_Means_From_Scratch Public

   An implementation of the basic idea of K-Means from scratch.

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4. Titanic_Classification Titanic_Classification Public

   In this challenge, I build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

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5. FMNIST_CNN FMNIST_CNN Public

   This project is a convolutional neural network (CNN) built using PyTorch that classifies images from the Fashion-MNIST dataset. The network consists of several layers including convolutional layers…

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6. Neural_Network_From_Scratch Neural_Network_From_Scratch Public

   This is the code of a Neural Network built from scratch without any libraries other than NumPy to deal with matrices and to handle the Linear Algebra part.

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