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1. Alex-Marco Alex-Marco Public

   This is my Github Profile

2. Sales-Revenue-Prediction Sales-Revenue-Prediction Public

   A complete End-to-End Machine Learning project for prediciting company sales and revenues —include data preprocessing, model training, hyperparameter turning, validation, and deployment using FasatAPI

   Jupyter Notebook

3. Customer-Segmentation-Classification-ML-Project Customer-Segmentation-Classification-ML-Project Public

   This project demonstrates an end-to-end machine learning pipeline for customer segmentation and classification, Using Kmeans for Clustering and Random Forest for Training the Model

   Jupyter Notebook

4. Linear-Regression Linear-Regression Public

   Linear Regrssion from scratch and Gradient Descent and then Comapring it with the Normal Equation- with this you are going toi learn how to implement gradient descent and normal equationa and under…

   Jupyter Notebook

5. Logistic-Regression-From-Scratch Logistic-Regression-From-Scratch Public

   A complete implementation of logistic regression with sigmoid function and Cross Entropy

   Jupyter Notebook

6. Maze-RL-Agent Maze-RL-Agent Public

   A comprehensive Python project showcasing two core AI paradigms: Classical Pathfinding (A*, BFS) and Model-Free Reinforcement Learning. Features a Q-Learning agent trained to navigate a dynamic Pyg…

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