Repo for the Deep Learning Nanodegree Foundations program.

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Learning about and doing projects with recurrent neural networks

Multiple Imputation with LightGBM in Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

Materials for an online-course - "Practical XGBoost in Python"

Tutorial how to use xgboost

LSTM-XGBoost Time Series Forecasting

Tutorial on survival analysis using TensorFlow.

Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, LSTM-Attention, Hybrid GRU-XGBoost and Hybrid LSTM-Attention-…