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-NTT-Stock-Price-Prediction-with-LSTM-
-NTT-Stock-Price-Prediction-with-LSTM- PublicThis project builds a time-series model to forecast NTT stock prices using LSTM. It covers EDA, visualization, feature engineering, training, and evaluation. Models like Random Forest, CatBoost, an…
Jupyter Notebook 1
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-Bhagavad-Gita-NLP-Chatbot-using-Semantic-Search-and-FAISS
-Bhagavad-Gita-NLP-Chatbot-using-Semantic-Search-and-FAISS PublicAn intelligent Bhagavad Gita chatbot using NLP with Sentence Transformers and FAISS. Retrieves spiritually meaningful verses based on user queries via semantic similarity search. Merges AI with anc…
Jupyter Notebook 1
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Smart-AI-Chatbot-Unlocking-Knowledge-from-PDFs
Smart-AI-Chatbot-Unlocking-Knowledge-from-PDFs Public"Smart AI Chatbot: Unlocking Knowledge from PDFs" is an AI-powered chatbot that extracts and processes text from PDFs to answer queries using NLP, Machine Learning, and FAISS-based semantic search,…
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-Animal-Classification-CNN-PyTorch-
-Animal-Classification-CNN-PyTorch- PublicThis project builds a Convolutional Neural Network (CNN) using PyTorch to classify animal images across categories. It covers data preprocessing, training multiple CNNs, and combining them through …
Jupyter Notebook 1
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E-Retail-Customer-Segmentation-using-K-Means-Clustering
E-Retail-Customer-Segmentation-using-K-Means-Clustering PublicThis project uses K-Means clustering to segment e-retail customers based on RFM (Recency, Frequency, Monetary) analysis. After data cleaning and feature engineering, the Elbow method helped identif…
Jupyter Notebook 1
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Improving-Time-Series-Classification-Accuracy-Using-Self-Supervised-Learning
Improving-Time-Series-Classification-Accuracy-Using-Self-Supervised-Learning PublicThis project improves time-series gesture classification using self-supervised learning on the UWaveGestureLibrary dataset. An autoencoder is trained to learn representations from unlabeled data, a…
Jupyter Notebook 1
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