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1. Stock-Price-Prediction-Using-LSTM-A-Data-Driven-Approach-with-Google-Stock-Data Stock-Price-Prediction-Using-LSTM-A-Data-Driven-Approach-with-Google-Stock-Data Public

   This project leverages Long Short-Term Memory (LSTM) networks to predict stock prices using Google stock data. By analyzing historical trends and patterns, the model aims to provide accurate future…

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2. Harnessing-Vector-Space-Models-for-Enhanced-Machine-Translations-and-Document-Search Harnessing-Vector-Space-Models-for-Enhanced-Machine-Translations-and-Document-Search Public

   This project focuses on integrating Vector Space Models (VSM) with Machine Translation (MT) models for enhancing document search and translation quality. It involves the use of MarianMT for transla…

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3. Breast-Cancer-Classification-Using-Decision-Tree-and-Random-Forest-A-Comparative-Study Breast-Cancer-Classification-Using-Decision-Tree-and-Random-Forest-A-Comparative-Study Public

   This project uses the Wisconsin Breast Cancer Dataset to apply and compare the performance of Decision Tree and Random Forest classifiers. The goal is to predict whether a tumor is benign or malign…

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4. Dimentionality-Reduction-Using-PCA-LDA-and-ICA Dimentionality-Reduction-Using-PCA-LDA-and-ICA Public

   This project applies clustering and dimensionality reduction (KMeans, PCA, LDA, ICA) to analyze high-dimensional datasets like Iris, Wine, and Breast Cancer. Visualizations and metrics (Silhouette …

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