kingno1kingno1

Anomaly_Detection

energy-hackdays-anomaly-detection

Challenge #14: "Anomaly Detection for Smart Meter Devices" from the open energy hackdays 2020

energy_consumption_prediction

Energy consumption prediction using LSTM/GRU networks in PyTorch

esg-bert

Use ESG-BERT model to classify text of sustainability reports

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

LSTM-Autoencoder-Time-Series

Time Series embedding using LSTM Autoencoders with PyTorch in Python

Machine-Learning-to-Predict-Energy-Consumption

Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)

Python-Machine-Learning

Tutorial Course for Python and Machine Learning

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

seq2seq-time-series-forecasting-fully-recurrent

Companion repo to Medium article titled "Implementing Seq2Seq Models for Efficient Time Series Forecasting"

kingno1kingno1/Anomaly_Detection

kingno1kingno1/energy-hackdays-anomaly-detection

Challenge #14: "Anomaly Detection for Smart Meter Devices" from the open energy hackdays 2020

kingno1kingno1/Machine-Learning-to-Predict-Energy-Consumption

Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)

kingno1kingno1/seq2seq-time-series-forecasting-fully-recurrent

Companion repo to Medium article titled "Implementing Seq2Seq Models for Efficient Time Series Forecasting"

kingno1kingno1/test0303mac