mape

There are 0 repository under mape topic.

luci-app-fleth
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。
ds-lite flets openwrt map-e mape dslite fleth
Language:Lua 23
elbowz / PyMAPE
Distributed and decentralized MAPE-K loops framework
mape mape-k self-adaptive decentralized distributed python influxdb redis
Language:Python 7
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.
forecasting linear-regression matlab-nntool artificial-neural-networks knearest-neighbor energy mape
Language:Jupyter Notebook 4
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.
machine-learning linear-regression regression python random-forest mape retail sales
Language:Jupyter Notebook 4
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.
adagrad adam-optimizer droupout gru lstm mape mse rmsprop rnn stock-price-prediction
Language:Jupyter Notebook 4
DharshanSR / MLP-Neural-Network
R code for exchange rate prediction using Multilayer Perceptron (MLP) models with various architectures and evaluation metrics
feature-extraction machine-learning mae mape mlp neural-network r rmse smape modal-evaluation
Language:R 3
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 ...
deep-reinforcement-learning mape reinforcement-learning swarm-intelligence
Language:Python 3
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.
meta apes nft meta-apes smartcontract contract solidity binance token mape
Language:Solidity 3
YenLinWu / Daily_Work_of_Data_Science
資料科學的日常研究議題
data-science python machine-learning statistics homogeneity normality-test correlation-coefficient classification-models regression-models chatterjee-correlation kendall-tau pearson-correlation spearman-rank-correlation kernel-density-estimation maape mape mae r-squared model-drift overfitting
Language:Jupyter Notebook 3
pavankethavath / Dominos---Predictive-Purchase-Order-System
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
Language:Jupyter Notebook 2
shubhammandhare10 / Analyzing-Forecasting-Stock-Prices
Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.
arima-forecasting correlation-matrices covariance-matrix data-analysis forecasting-models mape minmaxscaling normalization-data rmse rstudio stock-price-prediction time-series-analysis
Language:R 2
stdlib-js / stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math average avg mean error err mape maape absolute abs incremental accumulator
Language:JavaScript 2
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).
data-science machine-learning python linear-regression anova-test pandas numpy multicollinearity autocorrelation heteroscedasticity mape supervised-learning
Language:Python 1
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.
time-series-forecasting excel r holt-winters-forecasting exponential-smoothing mape regression-models
Language:R 1
cybercat37794 / Stock-Price-Prediction
deep-learning exponential-moving-average lstm-model mape rmse simple-moving-average stock-market time-series-analysis
Language:Jupyter Notebook 1
stdlib-js / stats-incr-maape
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math average avg mean arithmetic-mean error err absolute abs mape deviation difference
Language:JavaScript 1
stdlib-js / stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math average avg mean arithmetic-mean error err absolute abs percentage percent mape
Language:JavaScript 1
stdlib-js / stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math average avg mean error err mape absolute abs percentage percent incremental
Language:JavaScript 1
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
python forecasting holt data-driven time-series-decomposition moving-average acf-plots simple-exponential-smoothing mape holts-winter
Language:Jupyter Notebook 1
yusrilihzaM / Forecasting-Groundwater-Use-in-DKI-JAKARTA
forecasting-model mape mad mse codeigniter3 double-exponential-smoothing time-series
Language:HTML 1
Archan311 / Price_Prediction_Models
Basic to complex prediction model using exhaustive selector & Lasso
exhaustive-search feature-selection mape price-prediction best-alpha lassocv
Language:Jupyter Notebook 0
AyusheGangal / AGrow-ML
Project to predict production quantities for a given dataset using Machine Learning algorithms.
agricultural-modelling decision-trees machine-learning mape mean-absolute-percentage-error neural-networks predictive-modeling python3 r2-score random-forest regression-models support-vector-machines data-frames data-preprocessing pandas
Language:Jupyter Notebook 0
dimsariyanto / Gold-Price-Prediction
This project predicts gold prices based on historical market data using Bi-LSTM. The model is trained with price and volume features, and evaluated using MAPE to measure prediction accuracy.
bilstm forecasting-time-series goldprice interpolation lstm-neural-networks mape minmaxscaler prediction trend
Language:Jupyter Notebook 0
Eutienne / linear_regression
Implementation of a simple linear regression with single feature
gradient-descent linear-regression machine-learning mae mape mpe mse
Language:Python 0
nirajsaran2 / AccidentAnalysis
Sober truths: Predict the number of fatalities and alcohol-impaired driving crashes
time-series vector-auto-regression-models eda keras-neural-networks mape predictive-analytics rmse-score rnn-tensorflow visualization
Language:Jupyter Notebook 0
RimpleDabas / Time-Series-Forecasting
:calendar: Forecasting passengers screened at Canadian Airports :airplane:
exponential-smoothing prophet-model arima-model mape powerbi python3 sarima scikit-learn dax-expression
Language:Jupyter Notebook 0
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.
gru lstm-neural-networks mape mse rmse-y-mae
Language:Jupyter Notebook 0
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.
accuracy auc confusion-matrix data-science f1-score machine-learning mape mse performance-metrics python rsquare
Language:Jupyter Notebook 0
tgchacko / Walmart-Sales-Forecasting
Predicting Walmart Sales and Performing Exploratory Data Analysis
arima autoarima exploratory-data-analysis forecasting mae mape matplotlib numpy pandas pmdarima prophet python rmse rmse-score sales sarimax seaborn tbats
Language:Jupyter Notebook 0
yusrilihzaM / Forecasting-Indonesian-Crude-Oil-Price
single-exponential-smoothing double-exponential-smoothing forecasting-models codeigniter3 mape mse mad mysql php time-series
Language:HTML 0
bjam24 / comparative_analysis_of_lstm_variants
bidirectional-lstm lstm classic-lstm bidirectional-gru gru-lstm stacked-lstm analysis comparison mae mape python rmse tensorflow
Language:Jupyter Notebook
Nirva-Patel / Time-Series-Forecasting
This project aims to forecast gold prices using time series techniques. It includes data preprocessing, model training, and evaluation of methods like ARIMA, SARIMA, LSTM, etc. to identify the best-performing model. The repository contains code, data workflows, and model comparisons.
arima-model arma eda gru lstm mape rmse-score sarimax time-series-analysis time-series-forecasting
Niteshchawla / Movie-Recommender-System
To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.
collaborative-filtering correlation-matrix cosine-similarity exploratory-data-analysis feature-engineering knearest-neighbor-algorithm mape matrix-factorization pca-analysis pearson-correlation recommender-system rmse sparsity tsne-visualization visualization
Language:Jupyter Notebook
pranshu1921 / Netflix-Movie-Recommendation-System
Recommendation system to predict movie rating given by user on Netflix.
netflix recommender-system regression cinematch numpy pandas matplotlib seaborn scipy sklearn sklearn-library surprise xgboost rmse-score mape similarity-matrix knn-model
Language:Jupyter Notebook
SunandaBiswas / Excel-Tasks
all my practiced works done in excel
exponential-smoothing mae mape mse time-series-data avg-past-values forecasting-accuracy naive-method

mape

makeding / luci-app-fleth

elbowz / PyMAPE

Aniket-Thopte / Electric-Load-Forecasting-using-different-techniques

asim5800 / Retail-Sales-Prediction

heydarimo / Stock-Market-Prediction

DharshanSR / MLP-Neural-Network

Edision-liu / Deep-Reinforcement-Learning-on-MAPE

Meta-Apes / meta-ape-nft-contract

YenLinWu / Daily_Work_of_Data_Science

pavankethavath / Dominos---Predictive-Purchase-Order-System

shubhammandhare10 / Analyzing-Forecasting-Stock-Prices

stdlib-js / stats-incr-mmaape

Akashash01 / Akash_Linear-regression

bryce-bowles / tsf-richmond-bank

cybercat37794 / Stock-Price-Prediction

stdlib-js / stats-incr-maape

stdlib-js / stats-incr-mape

stdlib-js / stats-incr-mmape

vaitybharati / Forecasting_Data_Driven_Models

yusrilihzaM / Forecasting-Groundwater-Use-in-DKI-JAKARTA

Archan311 / Price_Prediction_Models

AyusheGangal / AGrow-ML

dimsariyanto / Gold-Price-Prediction

Eutienne / linear_regression

nirajsaran2 / AccidentAnalysis

RimpleDabas / Time-Series-Forecasting

rrfsantos / Projeto-Rede-Neurais--Series-Temporais

sachelsout / performance-metrics-from-scratch

tgchacko / Walmart-Sales-Forecasting

yusrilihzaM / Forecasting-Indonesian-Crude-Oil-Price

bjam24 / comparative_analysis_of_lstm_variants

Nirva-Patel / Time-Series-Forecasting

Niteshchawla / Movie-Recommender-System

pranshu1921 / Netflix-Movie-Recommendation-System

SunandaBiswas / Excel-Tasks