Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

List of papers, code and experiments using deep learning for time series forecasting

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

list of papers, code, and other resources

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

Resources about time series forecasting and deep learning.

An experiemtal review on deep learning architectures for time series forecasting

使用SageMaker+XGBoost，将时间序列转换为监督学习，完成预测性维护的实践

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

R package - Dynamic Ensembles for Time Series Forecasting

Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)

Python codes for time series forecasting

Machine Learning Practise

Time series forecasting for common inflators and economic indices using the forecast package in R.

Full stack machine learning project, with data visualization and analysis of the air quality of India, the effect of the pandemic on pollution, and performing Time Series Forecasting on the data using Facebook Prophet to predict future values of the AQI. Interactive and engaging website designed and the model and backend deployed on a local host…

Neural Time Series Analysis

Using historical BTC price data pulled from Binance API to explore and analyze its predictability as an asset using rather traditional indicators as model features.

The GFSM algorithm

Time series analysis written in python in a colab jupyter environment. Predominant libraries used were numpy, pandas and statsmodels.