2nd Year Computer Science Engineering Student.
This project demonstrates the use of advanced deep learning architectures, specifically LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) layers, to forecast Apple stock prices. While primarily focused on Apple stock, the model is flexible enough to handle datasets with similar fields (like open, close, high, low prices).
The Topography Classifier project utilizes deep learning techniques to classify satellite images into different topographical categories such as sky/cloud, water, desert, and forest. The project aims to accurately predict and analyze land features, offering valuable insights for environmental monitoring and land management.
This repository named as chatBot-1.O is mainly focused on query based on machine learning concepts and techniques
This is an end to end machine learning project consisting of a model trained on Convolutional Neural Network (CNN). Then using Streamlit we made an webapp which would take images as input and predict the disease occurred to the plant
This is an End to End Machine Learning based project which further provides the user with an interface to give inputs on an webapp through which he/she can get the prediction whether they stand a chance for stroke or not for early diagnosis
web-based platform designed to empower users by transforming their raw data into dynamic live dashboards. The platform simplifies the data visualization process by allowing users to upload CSV files, define their criteria, and instantly generate customized, interactive visualizations.