This repository has been created for air pollution forecast in the coming hours in Beijing.

Predicting house prices using Ridge, SVR, GBR, XGBoost, LightGBM, Random Forest and Stacked CV

Xây dựng hệ thống phát hiện và cảnh báo hỏa hoạn

📈 Stock Price Prediction with LSTM 🚀 In this project, I had the exciting opportunity to dive into the world of stock market analysis and prediction using the Long Short-Term Memory (LSTM) model.

LSTM model able to parse logs at character level and to recognize various types of variables.

Stock Analysis PC is a desktop application built with Python and Tkinter for stock prediction.

Solution for the Quora question pairs competition on kaggle

RNN, GRU,CNN and NLP implementing on demo projects from Lazyprogrammer.

Simple Sarcasm Detector made using LSTM - Data Used : News Headlines Dataset For Sarcasm Detection. Used tensorflow.js for deployment

Used various models for EDA

Learned knowledge and techniques in Deep Learning and also related tools: Python, Pytorch, Jupyter Notebook, RNN, CNN, Reinforcement Learning, LSTM, BERT, Language Modeling

COMMODITY PRICE PREDICTION

Using LSTM to predict future stock price

Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array

This project analyzes Brent crude oil prices using various data science techniques, including data preprocessing, exploratory data analysis (EDA), time series modeling, and advanced predictive modeling. The project also includes a Flask and React dashboard for interactive analysis

Deep learning-based Bitcoin price forecasting using LSTM. Includes data preprocessing, model training, and future prediction with aligned timestamps.

Time Series Analyses and Machine Learning for Classifying Events prior to Fiber Cuts

NLP Prediction

Vietnamese Student Feedback Sentiment Analysis