tgchacko/Walmart-Sales-Forecasting

Predicting Walmart Sales and Performing Exploratory Data Analysis

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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).

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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.

Language: Solidity - Size: 27.3 KB - Last synced: 12 days ago - Pushed: about 2 years ago - Stars: 6 - Forks: 0

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

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pranshu1921/Netflix-Movie-Recommendation-System

Recommendation system to predict movie rating given by user on Netflix.

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elbowz/PyMAPE

Distributed and decentralized MAPE-K loops framework

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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.

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

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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.

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shubhammandhare10/Analyzing-Forecasting-Stock-Prices

Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.

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stdlib-js/stats-incr-mmaape

Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.

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AyusheGangal/AGrow-ML

Project to predict production quantities for a given dataset using Machine Learning algorithms.

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cybercat37794/Stock-Price-Prediction

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Eutienne/linear_regression

Implementation of a simple linear regression with single feature

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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.

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stdlib-js/stats-incr-maape

Compute the mean arctangent absolute percentage error (MAAPE) incrementally.

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stdlib-js/stats-incr-mape

Compute the mean absolute percentage error (MAPE) incrementally.

Language: Makefile - Size: 319 KB - Last synced: 29 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

stdlib-js/stats-incr-mmape

Compute a moving mean absolute percentage error (MAPE) incrementally.

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yusrilihzaM/Forecasting-Indonesian-Crude-Oil-Price

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