TheServerSide

Full Git and GitHub tutorial for beginners

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...
IEEE

Explainable AI Framework Using XGBoost With SHAP and LIME for Multi-Scale Household Energy Forecasting

Abstract: Forecasting energy consumption is critical for maximizing resource utilization, lowering operational costs, and increasing sustainability. Traditional machine learning models often function ...
IEEE

Wavelet-Enhanced Hybrid LSTM-XGBoost Model for Predicting Time Series Containing Unpredictable Events

Abstract: Accurate electricity consumption forecasting is essential for effective power management, especially in the presence of unpredictable events that disrupt typical consumption patterns. Using ...
GitHub

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

The code has been tested running under Python 3.7.4, with the following packages and their dependencies installed: numpy==1.16.5 sklearn==0.21.3 statsmodels==0.10.1 pandas==0.25.1 tensorflow==2.1.0 ...
GitHub

PatWalters/practical_cheminformatics_tutorials

A set of Jupyter notebooks for learning Cheminformatics. The links below will open the tutorials on Google Colab. This way you can run the notebooks without having to install software on your computer ...