Data transform utility for time series

The goal of the project is to predict chickenpox cases one year ahead based on known history. Methods used: ETS decomposition and SARIMA with statsmodels, LSTM with Keras, MINMAX scaling.

Create Music with Machine Learning!

deep learning: prediction de sentiment associé à un tweet

Using Deep Learning to Categorize Music through Spectrogram Analysis

🚀 Unveiling Stock Market Insights with RNNs: A concise exploration of LSTM and GRU models for stock price prediction, featuring a research paper and Jupyter Notebook. 💹📈

Сентиментальный анализ рынка акции

A computer vision model for Indian Sign Language Recognition

LSTM and all other supporting modules are used to predict the next word based on the previous five words.

Dicoding Submission : Machine Learning Terapan

📈 Experimenting with possible closing price predicition using automated systems

This repository contains a project aimed at predicting Tesla's stock prices using Long Short-Term Memory (LSTM) networks.

Repo for data concerning a study comparing community impact on LITECOIN and DOGECOIN economical parameters

AI-powered time-series forecasting system that predicts CPU, Memory, Network, and Disk utilization in cloud environments using LSTM neural networks.

Repo for the Deep Learning Specialization offered by Coursera

Different methods for univariate and multivariate time series forecasting using sklearn and keras.

Contains ML projects

A Music Generating Neural Network using MIDI files and an LSTM neural network implemented with Keras