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1. RL-PCO-Atlantis-Atari RL-PCO-Atlantis-Atari Public

   This project trains and evaluates a Proximal Policy Optimization (PPO) agent to play the Atari game Atlantis using Stable Baselines3. The agent is trained with a Convolutional Neural Network (CNN) …

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2. Rice-Classification-CNN Rice-Classification-CNN Public

   Rice-Classification-CNN is a TensorFlow-based project for classifying rice varieties using Convolutional Neural Networks. It utilizes a publicly available dataset to train and evaluate a CNN model …

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3. Hot-or-Cold-Custom-Env-RL Hot-or-Cold-Custom-Env-RL Public

   A custom reinforcement learning environment for the Hot or Cold game. The agent navigates a 100x100 grid to find a randomly placed target while receiving rewards based on proximity and success.

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4. BipedalWalker-RL BipedalWalker-RL Public

   This project implements agent training using the Proximal Policy Optimization (PPO) algorithm in the BipedalWalker-v3 environment at two difficulty levels: normal and hardcore. The model's performa…

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5. Customer-Segmentation-Using-K-means-Clustering-PCA Customer-Segmentation-Using-K-means-Clustering-PCA Public

   Customer segmentation project using K-Means clustering on demographic and purchasing data. The goal is to identify customer segments for targeted marketing strategies. Includes data preprocessing, …

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6. Titanic-Challenge-4-Model Titanic-Challenge-4-Model Public

   This project predicts Titanic passenger survival using machine learning. Key features like age, fare, gender, and class were used. Data preprocessing included handling missing values, scaling, and …

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