This repository contains code for training LSTM models to predict future prices of various cryptocurrencies based on historical data. The project utilizes TensorFlow and Python for model training and prediction. ## Project Structure - **`main.py`**: Main script to fetch historical data, train LSTM models, and predict future prices. -

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学校作业，用LSTM模型预测一个时间序列

A dissertation project for MSc Financial Technology at University of Nottingham. This is a time series project that takes input features that are cointegrated with the target variables and examine different ML models.

Sentiment Analysis using Deep Learning (LSTM & BERT). This project predicts if a review is Positive or Negative using an LSTM-based RNN model and a Transformer-based BERT model. Includes a Streamlit web app for easy interaction. #DeepLearning #SentimentAnalysis #LSTM #BERT #NLP #MachineLearning

🚀 LSTM Stock Price Prediction | Deep learning model using TensorFlow to predict stock prices with 60-day sequences. Features real-time data download, comprehensive evaluation metrics, and interactive visualization. Built with Python, Keras, and scikit-learn. #MachineLearning #StockPrediction #DeepLearning

#MachineLearning #NLP #RNN #LSTM

MachineLearning_LSTM model

#timeseries #covid19 #arima # sarima #sarimax #lstm #machinelearning

#EDA #DataPreprocessing #FeatureEngineering #MachineLearning #LinearRegression #LSTM #RandomForest #XGBoost

WEATHER PREDICT

Sales prediction model

This project is a Flask-based application for predicting stock prices using the LSTM algorithm. The application allows users to fetch stock data, predict stock prices, and evaluate the prediction model with relevant metrics.

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Machine Learning using Long Short-Term Memory (LSTM) Network for Indonesia Stock Exchange

WineReviewPrediction: Predict wine quality from reviews using TensorFlow. Compare NN and LSTM models. Dataset preprocessing included. #MachineLearning

EEG Confusion Detection: TensorFlow Keras project for predicting confusion levels using EEG data. Bidirectional LSTM model & feature analysis. #MachineLearning #EEG

# Stock Prediction with LSTM 📈 Predict stock prices using LSTM in this machine learning project. Dive into Jupyter notebooks, datasets, and code for detailed insights. 👉 **[pls follow]** | ⭐️ **Star the repository!** #MachineLearning #StockPrediction #LSTM #DataScience

"Sentiment Analysis of Student Feedback using Machine Learning: Explore techniques like Random Forest, Naive Bayes, and LSTM for enhanced educational quality. #TextAnalysis #MachineLearning"

"Stock-Price-Prediction - Netflix (NFLX) stock price forecasting using Machine Learning (Linear Regression) and Deep Learning (LSTM). Built during my Data Science internship @ Arch Technology. #Python #MachineLearning #Finance"

This repository explores stock market volatility prediction using Linear Regression, SVR, LSTM, and GARCH models. It includes data collection (yfinance), feature engineering (RSI, SMA, Log Returns), and model evaluation. 📊 Compare statistical & AI-based methods for market forecasting! 🚀 #MachineLearning #Finance

This project aimed to classify Indian classical music recording clips using different machinelearning techniques. We trained three models namely CNN, LSTM and VGG16 to perform feature extraction and in turn raga-based genre classification for Indian classical music. The models were trained using the approach and initial parameters of Retta et al.

Twitter Spam Detection Web App! Built a Flask-based web app using Machine Learning & Deep Learning models like Naive Bayes, SVM, BiLSTM, CNN, and LSTM to detect spam tweets in real-time. Integrated PyMySQL for database management and NLP for feature extraction. Naive Bayes (82% accuracy) outperformed all models! #MachineLearning #NLP #Flask #SpamD