1st Place Solution for O2O Coupon Usage Forecast

Stock Prodiction by SVM & ARIMA

Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

Text generating RNN using Sherlock Holmes novels

Time-series prediction with LSTNet in Apache MXNet Gluon

A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.

Time series Classification by Logistic regression varaiants

copper price(time series) prediction using bpnn and lstm

PCA and DBSCAN based anomaly and outlier detection method for time series data.

python code for machine learning

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning

time-series prediction for predictive maintenance

Time series forecasting (TSF) is the task of predicting future values of a given sequence using historical data. Recently, this task has attracted the attention of researchers in the area of machine learning to address the limitations of traditional forecasting methods, which are time-consuming and full of complexity. With the increasing availab…

Online Kernel Adaptive Filtering Methods implemented in Python. Implementation of Kernel Least Mean Square, Kernel Maximum Correntropy and Quantized versions of both.

Bachelor Thesis: Time series sales forecasting using LSTM neural networks. An approach to predict future sales using LSTM nn from Keras on Kaggle competition Predict Future Sales.

Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network