dal3006 Goto Github PK

long-term-energy-forecasting-using-econometrics-in-matlab

Creating a dynamic, self-tuning model for predicting LONG term energy load using econometrics techniques

long-term-load-forecasting

Long term peak- load forecasting using Support Vector Regression and Backtracking Search Algorithm

long-term_forecast_msc_project

Use RNN encoder-decoders to multi-step (30-days) forecast the price of sterling in Chinese yuan

lstm-and-gru-forecast

Forecasting

lstm-and-gru-time-series-forecasting

lstm-covid-19-india

Deep learning with LSTMs for long-term COVID forecasting in India

lstm-for-time-series-forecasting-pytorch

使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)

lstm-gru-and-bilstm-predict-ibm-stock-price

lstm-kalman-hybrid-timeseries

Hybrid Time Series using LSTM and Kalman Filtering

lstm-prediction

LSTM Prediction for time series data (jean sales data set) using matlab

lstmstockprediction

Bidirectional long/short strategy using LSTM Stock Price forecast

ltg

Long Term Generation algorithm for creating long-term time series conditioned on sequential short-term historical forecasts

luminol

Anomaly Detection and Correlation library

lunar_geomagnetic_correlation

machine-analytics

Analysis of faults

machine-learning

Linear Regression , Cross Validation, k-mean clustering , Watershed , Gradients and Edge Detection , threshold , Correlation , Neural Network, Conventional Neural Network , Pneumonia Classification, Social Distancing, Rainfall Prediction, Boston Housing Price Prediction.

machine-learning-1

This repository holds my completed Octave/Matlab code for the exercises in the Stanford Machine Learning course, offered on the Coursera platform.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-coursera

Solutions to Coursera's Intro to Machine Learning course in python

machine-learning-deep-learning

This repository has all my projects on Oil and Gas (and Non Oil & Gas) Machine Learning Topics

machine-learning-fault-analysis

machine-learning-model-for-distribution-transformer-fault-identification

Machine Learning model has been applied in the online monitoring of distribution transformer, to identify the fault condition in the distribution transformer. Transformer data where collected from the IoT devices for Distribution transformer monitoring system.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

machine-learning-with-python

Python code for common Machine Learning Algorithms

machine_predictive_maintenance_classification

We try to detect faults in production

maelstrom

Numerical simulation of magnetohydrodynamics.

magnet

MagNet: Model the Geomagnetic Field

magnet-geomagnetic-field

Winners of the MagNet: Model the Geomagnetic Field competition

magnet-model-the-geomagnetic-field

Code for MagNet: Model the Geomagnetic Field Competition on DrivenData

magnet-model-the-geomagnetic-field-1

In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance,