mape
There are 30 repositories under mape topic.
makeding/luci-app-fleth
luci-app-fleth は、IPv4 over IPv6トンネル（DS-Lite MAP-E）を自動設定ヘルパです。
elbowz/PyMAPE
Distributed and decentralized MAPE-K loops framework
Aniket-Thopte/Electric-Load-Forecasting-using-different-techniques
Electric Load forecasting for a year on hourly basis using 3 different techniques. - linear Regression, - ANN (Using Matlab nntool), -K-Nearest Neighbor. All 3 codes are present with an detailed report on each technique.
asim5800/Retail-Sales-Prediction
Sales forecasting is an essential task for the management of a store. Machine learning can help us discover the factors that influence sales in a retail store and estimate the number of sales in the near future.
Edision-liu/Deep-Reinforcement-Learning-on-MAPE
Swarm intelligence aims at exploring the complicated relationships among multi-agents to stimulate co-evolution and the emergence of intelligent decision-making. Based on Multi-agent Particle Environment and deep Reinforcement learning method, we propose ...
heydarimo/Stock-Market-Prediction
in this repository we intend to predict Google and Apple Stock Prices Using Long Short-Term Memory (LSTM) Model in Python. Long Short-Term Memory (LSTM) is one type of recurrent neural network which is used to learn order dependence in sequence prediction problems. Due to its capability of storing past information, LSTM is very useful in predicting stock prices.
Meta-Apes/meta-ape-nft-contract
Meta Apes is the all encompassing reward token, staking platform, and NFT ecosystem. Holding MAPES tokens allow you to receive 7% rewards in any BEP20 token of your choosing.
shubhammandhare10/Analyzing-Forecasting-Stock-Prices
Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.
stdlib-js/stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
Akashash01/Akash_Linear-regression
This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).
bryce-bowles/tsf-richmond-bank
Using MS Excel and R, accurately forecasted total core deposit data from a Richmond Bank. The Holt’s Linear Exponential Smoothing had the overall lowest “Quick and Dirty” MAPE (1.2%), the lowest overall Maximum MAPE (3.49%), and consistently more accurate projections for each of the forecast horizons. Overall, the Unaided, Holts Linear Exponential Smoothing, and both regressions overestimated while the Naïve, 12 Month (M) Center Moving Average (CMA), 3M Moving Average (MA), 6M MA, Damped Trend Exponential Smoothing, and Simple Exponential Smoothing underestimated.
DharshanSR/MLP-Neural-Network
R code for exchange rate prediction using Multilayer Perceptron (MLP) models with various architectures and evaluation metrics
stdlib-js/stats-incr-maape
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
stdlib-js/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
stdlib-js/stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
vaitybharati/Forecasting_Data_Driven_Models
Splitting data, Moving Average, Time series decomposition plot, ACF plots and PACF plots, Evaluation Metric MAPE, Simple Exponential Method, Holt method, Holts winter exponential smoothing with additive seasonality and additive trend, Holts winter exponential smoothing with multiplicative seasonality and additive trend, Final Model by combining train and test
YenLinWu/Daily_Work_of_Data_Science
資料科學的日常研究議題
Archan311/Price_Prediction_Models
Basic to complex prediction model using exhaustive selector & Lasso
AyusheGangal/AGrow-ML
Project to predict production quantities for a given dataset using Machine Learning algorithms.
Eutienne/linear_regression
Implementation of a simple linear regression with single feature
nirajsaran2/AccidentAnalysis
Sober truths: Predict the number of fatalities and alcohol-impaired driving crashes
RimpleDabas/Time-Series-Forecasting
:calendar: Forecasting passengers screened at Canadian Airports :airplane:
rrfsantos/Projeto-Rede-Neurais--Series-Temporais
BI Master - Trabalho final da disciplina de Redes Neurais - Redes recorrentes LSTM, GRU. Métricas de avaliação RMSE, MSE, MAPE e MAE.
sachelsout/performance-metrics-from-scratch
This repository has the implementation of Performance Metrics (e.g. F1 score, AUC, Accuracy, etc) from scratch, without using Scikit Learn library.
tgchacko/Walmart-Sales-Forecasting
Predicting Walmart Sales and Performing Exploratory Data Analysis
pranshu1921/Netflix-Movie-Recommendation-System
Recommendation system to predict movie rating given by user on Netflix.