GitHub topics: forcasting | Ecosyste.ms: Repos

ArpitaSatsangi/Time-Series-Forecasting-for-Energy-Consumption

A Time Series Approach for Predicting Hourly Consumption Using XGBoost. This project explores patterns in energy consumption through feature-rich time series forecasting, providing accurate predictions and insights.

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

sumanthgubbala/Traffic_prediction_and_ManagemnetSystem

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

hushuguo/awesome-time-series-papers

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

Size: 215 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 384 - Forks: 13

vinhatson/OmniEcon-Nexus-Global-Microeconomic-Simulation-Engine

OmniEcon Nexus is an open-source, high-performance simulation engine for global micro/macro-economic analysis. Using deep learning, agent-based modeling, and optimization, it supports 5M agents for forecasting, risk analysis, policy simulation, and portfolio management. Built for governments, researchers, and developers.

Language: Python - Size: 151 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

t0mer/py-weatheril

weatheril is an unofficial [IMS](https://ims.gov.il) (Israel Meteorological Service) python API wrapper.

Language: Python - Size: 1.15 MB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 11 - Forks: 5

kunanonsurasorn/The_Korean_Fashion_Online_Shopping_Forecasts

โปรเจคนี้จัดทำขึ้นเพื่อพยากรณ์ปริมาณการซื้อสินค้าประเภทเสื้อผ้า รองเท้า และ เครื่องแต่งกายอื่นๆในประเทศเกาหลีใต้

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Shivasairam1706/MLOps-Project1

End-to-end ML-Ops project using PySpark and AWS, covering environment setup, model training, deployment with data capture, execution, and analysis. CI/CD pipelines (AWS CodePipeline) and monitoring (CloudWatch) ensure automated deployment, performance tracking, and model retraining for production-ready ML solutions.

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lostdir/btcprediction

Language: HTML - Size: 3.68 MB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

akremjomaa/Time-series-forecasting-electricity-consumption

This project focuses on forecasting electricity consumption for a future period using different time series models, both with and without external covariates such as outdoor temperature.

Language: HTML - Size: 1.03 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

hoomanhanaei/LSTM

RNN-LSTM (Recurrent Neural Networks based Long Short-Term Memory). Designed to train a model for processing DNA/RNA sequences.

Language: Python - Size: 32.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ebenezerbediam89/Ms.c_projects_portfolio-

This portfolio brings together all the major projects I carried out during my training at the National Advanced School Of Engineering of Yaoundé.

Language: GAMS - Size: 435 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PriyanshuL28/ML_EDA_Regression_EnergyConsumptionForecasting

An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.

Language: Jupyter Notebook - Size: 4.72 MB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Shah-Afraz411/Financial-News-Analysis-and-Stock-Prediction

A Project Exploring the Corelation Between Financial News and Stock Market Movements

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BenjiFinance/BenjiMLModel

This is the ML model of the Benji Application

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rominagoodarzi/EPS-Forcast-Linear-Study

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R-Mahesh45/Gas-Turbine-Energy-Yield-Prediction-Forest-Fires-Burned-Area-Forecast

This project focuses on predicting turbine energy yield (TEY) using ambient and turbine parameters from a gas turbine dataset. It involves building neural network models to analyze 36,733 instances of sensor data, evaluating model performance using metrics like MSE and R², and optimizing predictions for improved energy efficiency.

Language: Jupyter Notebook - Size: 5.85 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Ericc-Hao/unemployment-rate-predict-model

Predicting Canada's unemployment rates using Linear Regression and LSTM models with data preprocessing and evaluation.

Language: Python - Size: 6.87 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SeyedMuhammadHosseinMousavi/Forecasting-SARS-CoV-2-Next-Wave-in-Iran-and-the-World-Using-TSK-Fuzzy-Neural-Networks

Forecasting SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy Neural Networks

Language: MATLAB - Size: 1.86 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

DevamKataria/Superstore-Analysis

Designed Tableau dashboards to analyze sales, profit, and customer trends using the "USA Superstore" dataset. Utilized advanced analytics and forecasting for actionable insights and strategic planning.

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NZY0720/TimeLLM_test

A light-code version of Time-LLM based on GPT2

Language: Python - Size: 817 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

zrkhadija/Advanced-Predictive-Modeling-for-Enhancing-Traffic-Forecasting-in-Emerging-Cellular-Networks

Advanced Predictive Modeling for Enhancing Traffic Forecasting in Emerging Cellular Networks using Deep Learning

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dpgitaccount/Project---Online-Retail-Sales-Forecasting-Using-Time-Series-Analysis

The Online Retail Sales Forecasting Using Time Series Analysis project leverages historical sales data to predict future sales trends for e-commerce platforms. By applying time series analysis techniques, the model identifies patterns to optimize inventory and improve marketing strategies, and enhance decision-making for Future revenue growth.

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isamilH/AAPL-Stock-Price-Forecast-using-LSTM-Neural-Network

This project implements an LSTM (Long Short-Term Memory) neural network to forecast Apple Inc. (AAPL) stock prices using historical data from Yahoo Finance. The model is trained to predict future stock prices based on past trends.

Language: Jupyter Notebook - Size: 327 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

raj713335/B2BMart

Develop a model to identify and analyze factors influencing demand in the logistics industry.

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blackhat955/RealTimeStockPrediction

This project analyzes time series data for the "Magnificent 7" stocks: GOOG, TSLA, AMZN, AAPL, MSFT, META, and NVDA. It covers time series decomposition, visualization, and forecasting using LSTM, regression, and ARIMA models. The work includes detailed analysis of stock prices and fundamentals, providing comprehensive insights and predictions.

Language: Jupyter Notebook - Size: 196 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

C-DragonAI/StockLLM

StockLLM: A Stock Analyzer with Comprehensive LLM Insights

Language: Python - Size: 4.61 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 7 - Forks: 0

anhphan2705/temporal_fusion_transformer_plugnplay

A plug and play framework for Temporal Fusion Transformer. Predict your future!

Language: Python - Size: 3.42 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

josepmonzon61/Time-Series-Forecasting-of-Daily-Minimum-Temperatures-Using-LSTM

This project implements a deep learning model to forecast daily minimum temperatures using a Long Short-Term Memory (LSTM) network. The dataset, sourced from the Daily Minimum Temperatures dataset, contains daily temperature observations from Melbourne, Australia, spanning from 1981 to 1990.

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SwethaJoseph/Urological-Cancer-Referral-Forecast

Analysing and forecasting urological cancer referral patterns for NHS Scotland, aiming to improve management and operational efficiency.

Size: 2.85 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Ch-Jameel/Multi-Stock-Prediction

Multi Stocks Forcasting

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TMQ5/Business-Analytics-Nanodegree-Program

The BAND Program is a course that helps to learn how to analyze and visualize data using Excel and Tableau to help the organization in solving their problems.

Size: 4.15 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

amangupta143/Air-Quality-Prediction-FB-Prophet

This project focuses on time series forecasting of air quality data using the Facebook Prophet algorithm.

Language: Jupyter Notebook - Size: 538 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

abduallheid/Vitruvius-Construction-works-App

vitruvius is a wep app manage construction works

Language: JavaScript - Size: 37.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

Polaris000/EarthquakeForecasting

A simple approach to earthquake forecasting

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 20 days ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 0

Nessrin1990/Sales-Forecasting-with-Machine-Learning

Sales Forecasting with Machine Learning

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Code-str8/time-series-forecasting

Developing a model that effectively forecasts the unit sales of numerous items across various Favorita stores with precision.

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Rakhi-TS22/Walmart-Sale-forecast

Walmart, a multinational retail corporation, faces challenges in managing its inventory effectively, leading to issues aligning product supply with varying consumer demand.

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Yairz1/AutoEncoder

An implementation of AE LSTM based. We test our architecture on several tasks as reconstructing synthetic time series, s&p 500 stocks, and forecasting s&p 500 stocks based on the decoded information (also known as latent space) features we extract from the AE

Language: Python - Size: 141 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Sama-Amr/Insurance-Prediction-Model

A Regression project aiming to forecast the expenses of individuals within an insurance company where we could then decide whether to charge them a premium package or not.

Size: 2.66 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ellelenlee/data-mining

data mining and machine learning coursework projects

Language: R - Size: 148 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

hamza-hadj-aissa/APMLV

APMLV ( i.e. Automated Prediction and Management of Logical Volumes ) is a project that leverages deep learning and automation to optimize the management of logical volumes resources

Language: Python - Size: 18.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ErfanBagheri404/Weather-App

Weather app that supports all cities

Language: HTML - Size: 61.5 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

michelhaj/stock_price_prediction_one_day_in_the_future

This project focuses on the prediction of the closing price of stocks based on the closing prices of the past 60 trading days usin deep learning and lstm neural networks

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HEMANGANI/Enrollment-Forecast

This project implements a machine learning forecast model using XGBoost to predict headcount based on historical data. The model preprocesses the data, trains on the training set, and generates predictions for the test set.

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Vikram-Choudhary/Geolocation-weather

Geo-location based weather site in REACT JS

Language: JavaScript - Size: 9.25 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

vijayasaravana/Customer_Sales_Analysis_dashboard

Power BI

Size: 2.83 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

nqbinhcs/AI4VN2022-Air-Quality-Forecasting-Challenge

Runner-up team (2nd place) in AI4VN2022: Air Quality Forcasting Challenge

Language: Python - Size: 84 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 2

superkailang/WPP2012

A combined LSTM and LightGBM framework for improving deterministic and probabilistic wind energy forecasting

Language: Python - Size: 7.92 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 21 - Forks: 4

olcaykoyuturk/California-Housing-Price-Prediction

Bu proje, California'da bulunan ev fiyatlarını tahmin etmek amacıyla geliştirilmiştir. Veri bilimi ve makine öğrenimi yöntemleri kullanılarak oluşturulan bu projenin detayları aşağıda yer almaktadır. 🚀

Language: Jupyter Notebook - Size: 574 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AsifMahsud/pakOrbit

Weather forcast application using 7times api

Language: JavaScript - Size: 199 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

shadril238/ABC2023-WearingOffChallenge

ABC2023-WearingOffChallenge

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AmirFARES/Store-Sales-Forecasting

Sales forecasting for grocery stores using time series analysis and machine learning.

Language: Jupyter Notebook - Size: 964 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

guowilling/SRClimate

Concise style weather forecasting.

Language: Objective-C - Size: 6.34 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 64 - Forks: 19

30lm32/ml-time-series-analysis-sarimax

Building different models for non-seasonal and seasonal approaches by using ARIMA and SARIMAX in statsmodels package, respectively.

Language: Jupyter Notebook - Size: 2.12 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 2

rakesh-yadav/PyTorch-RNN-Tutorial

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

Language: Jupyter Notebook - Size: 2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 2

timlynar/Containerized-Forecasting-Workflow

Scripts to build and run WRF and WPS in docker

Language: Python - Size: 64.5 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 2

SyncfusionExamples/How-to-create-dotted-forecast-linechart-in-.NET-MAUI-Cartesian-chart

This repository has a sample that shows how to create a dotted forecasting line chart in .Net MAUI.

Language: C# - Size: 386 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

EconMaett/WEIext

Extension of the U.S. Weekly Economic Index (WEI)

Language: R - Size: 4.31 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Abir0810/price_actual_value_predicted_value_using_forcasting

Language: Python - Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

homeez/TimeSeries_Analysis

Time Series Analysis using Statsmodels' ARIMA model

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Himanshukrprasad/Weather_2-0github.io

Weather.App

Language: JavaScript - Size: 2.93 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AdolfoSalinas/ExponentialTripleSmoothingForecast_Excel

Supply side forecast used for labor planning in multiple locations. This tool was deployed to a production environment.

Size: 3.72 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

leonz12345/2020_Duke_Datathon_Winner_Submission Fork of MTang0728/Duke_Datathon_2020

Repo for the winning submission of 2020 Duke Datathon. Performed inference and predictive modeling and forecasting on the economic impact of COVID-19 for different countries.

Size: 1.64 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

amalsalilan/Bias_corrected_temerature_forcasting

This was the problem description for our Smart Indian Hackathon entry, but we were unable to compete in the final due to semester exams.

Size: 616 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DayoSamuel/An-Interactive-Dashboard-Design-for-Analyzing-the-Unemployment-Situation-Among-European-Countries

An Interactive Dashboard Design for Analyzing the Unemployment Situation Among European Countries

Size: 258 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

DayoSamuel/A-Statistical-Approach-to-Understanding-the-Unemployment-Situation-Among-European-Countries-from-the

A Statistical Approach to Understanding the Unemployment Situation Among European Countries from the Reformation and Development Perspective

Language: R - Size: 56.6 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

VaibhavDongre1311/End_to_end_oil_price_Forcasting_project

Business Problem: Oil price may fluctuate time to time based on more factors technical economical and natural as well as political so the forecasting may not be influenced by these some unexpected scenarios like Geopolitical issues (e.g.: War and Oil price Cap).

Language: Jupyter Notebook - Size: 6.32 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

geehaad/Time-Series_Different-models

understand Time series forecasting with different models in python, and fine tune the hyper-parameters to get the least possible error.

Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

SoufiyaneOuali/COVID-19-Predictions

study COVID-19 outbreak with the help of some basic visualizations techniques , Perform predictions and Time Series forecasting in order to study the impact and spread of the COVID-19 in comming days.

Language: Jupyter Notebook - Size: 876 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

MahdiNavaei/Forcast-Forex-With-Deep-Learning-Models

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 2

ShubhamMore4/Project-Stock_Price_Prediction

Predict the apple stock market price for next 30 days. There are Open, High, Low and Close price has been given for each day starting from 2012 to 2019 for Apple stock.

Language: Jupyter Notebook - Size: 581 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Abdelrhman-Sadek/Covid19-Forecast

Analysis of the covid-19 pandemic with forcasting the deaths in the next 30 days

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Abdelrhman-Sadek/Store-chain-Analysis-and-Forecasting

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MahdiNavaei/Forcast-euro-yen

Language: Jupyter Notebook - Size: 460 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 0

ManuOtel/LSTM-RAS-Forecasting

This project aims to use LSTM for forecasting the total output of a RAS system based on the sequential input data.

Language: Python - Size: 98.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

fares-ds/Predicting-the-closing-stock-price-of-APPLE-using-LSTM

In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.

Language: Jupyter Notebook - Size: 5.26 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 5

csoren66/Time-Series-Forecasting

Develop LSTM Models For Univariate Time Series Forecasting

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

dnyanshwalwadkar/Weather-Forcasting-Time-Series-Data

Time series forecasting is the process of analyzing time series data using statistics and modeling to make predictions and inform strategic decision-making. We are using Tensor-Flow to analyse weather periodic data contains 14 different features such as air temperature, atmospheric pressure, and humidity. we tried 5 differet models to analyse and forcast time series data of weather.

Language: Jupyter Notebook - Size: 938 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

xg86/Time-Series-Forecasting-with-ARIMA-and-LSTM Fork of mborysiak/Time-Series-Forecasting-with-ARIMA-and-LSTM

Size: 1.26 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ulkudilemre/Forecast-of-production-with-agricultural-data-of-Turkish-provinces

Bu projede TUİK ve Konya Belediye Açık Veri Platformundan alınan verilerle yapılmış 3 ayrı çalışma bulunmaktadır.

Language: Jupyter Notebook - Size: 22.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

iflis7/forcaster

Algorithmic forecasting of energy consumption

Language: Python - Size: 3.18 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ADS-506-Time-Series-Project/ADS-506-Final-Project

Forecasting Retail Store Weekly Sales to Increase Future Sales and Account for Seasonality

Size: 6.33 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AbdelTID/DA_Submission02

Times Series Analysis : Big pharma Stock Demand forcast with python

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Abhilashayagyaseni/Forcasting-model-in-excel

3 year prediction on time-related data

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StrawhatRA/LSTM_Stock_Predictor

Long Short-Term Memory Recurrent Neural Network models to predict future Bitcoin closing prices using Crypto Fear-and-Greed Index and closing prices.

Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

onedayxzn/gold-prices-forecasting-TimeSeries-

Task Of Domain Data Science (Orbit Future Academy)

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asahium/pogrom

Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

jgroth1/Project_1_Coffee_Price_Predictors

Description of The coffee market and Arabica commodity price forecasting

Language: Jupyter Notebook - Size: 19.9 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 7

Kulshre142/E-Commerce-Food-Product-Sales-Forcasting-System

This repository holds the project Food Products Sales Forecasting which includes data preparation, data visualization, and forecasting for sales of food products.

Language: HTML - Size: 11.3 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

WithDD97/Food-Demand-Forcasting

Predict the number of orders for the next Week in a restaurant.

Language: Jupyter Notebook - Size: 8.29 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

nabeelbassam/Stock-market-forecasting

Time-Series Forecasting: Predicting Stock Prices Using Xgboost

Language: Jupyter Notebook - Size: 490 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

z76316/CubePerturbMCF

AAAI 2021: A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting

Language: Jupyter Notebook - Size: 155 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

MIchelAshraf/Climate-change-prediction

Climate change prediction on Delhi weather data using time series analysis

Language: Jupyter Notebook - Size: 629 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Scientialibera/RScriptsandStuff

Programs showcasing popular machine learning algorithms and data engineering processes as well as quantitative finance modelling.

Language: R - Size: 142 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

mriosrivas/Forcasting

Example of a naive forcasting.

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dnyanshwalwadkar/Employee-Salary-Prediction-with-Regression-Algorithm

Regression analysis is a reliable method of identifying which variables have impact on a topic of interest. The process of performing a regression allows you to confidently determine which factors matter most, which factors can be ignored, and how these factors influence each other. We are using salary data having 4 attributes to predict salaries. We are having very less data so we are building different regression models to get good results

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hsoleymani/Random-walk-App

The random walk application receives a number of steps from the user and simulates a walk in a random direction with equal step sizes (one unit). Following each run, a histogram plots the distances from the origin for each run, and the expected value can be evaluated as the average distance approach a certain value.

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