NLP bacsic

Developed an LSTM model to generate text, mimicking the style of Nietzsche's writings

Heart Failure Management System

Beginner Friendly CheatCodes

Deep Learning Practises

Generate Lyrics Using RNN.

Text Classification

Developed a state-of-the-art text generation model leveraging machine learning techniques to autonomously produce coherent and contextually relevant textual content.

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

The project provides RNN-based Sentiment Analysis of Twitter Responses to 'The Social Dilemma' Documentary

Python script for training a Simple RNN model on cryptocurrency price data to predict future prices, including data exploration and evaluation

Image Captioning using Recurrent Neural Networks

This project is a technology demonstrator for performing English to Hindi translation on images using OCR using pre-trained model

An NLP project for Sentiment Analysis into four categories

This project uses LSTM neural networks to forecast Google Stock prices. Data is fetched from Tiingo using pandas datareader, preprocessed, and used to train the model. It's designed to run on Google Colab with GPU acceleration for faster training.

A name generator implemented using a recurrent neural network

This repository contains code for predicting stock market prices using Recurrent Neural Networks (RNN). The model is trained on historical stock data and can be used to make predictions for future stock prices.

The Big Bang of Data Science- Prediction from the Start to The End- [Book Three]

Imagery pipeline utilizing neural networks