Projects in Awesome Lists tagged with forcasting
A curated list of projects in awesome lists tagged with forcasting .
https://github.com/t0mer/py-weatheril
weatheril is an unofficial [IMS](https://ims.gov.il) (Israel Meteorological Service) python API wrapper.
api forcasting ims python3 weather weather-api weather-forecast
Last synced: 22 Jun 2025
https://github.com/xkiwilabs/urika
Multi-agent scientific analysis platform. It creates experiments, tries different methods, evaluates results, searches relevant literature, builds custom tools when needed, and generates detailed reports and presentaions.
agentic-ai analysis artificial-intelligence forcasting machine-learning modeling statistics
Last synced: 31 May 2026
https://github.com/mahdinavaei/forcast-euro-yen
arima-forecasting arima-model forcasting forex-market machinelearning python
Last synced: 24 May 2026
https://github.com/polaris000/earthquakeforecasting
A simple approach to earthquake forecasting
earthquake-data forcasting spatio-temporal-analysis statistics
Last synced: 27 Apr 2025
https://github.com/asifmahsud/pakorbit
Weather forcast application using 7times api
forcasting pakistan weather weather-app
Last synced: 30 Jan 2026
https://github.com/lostdir/btcprediction
arima-model bitcoin forcasting machine-learning time-series-analysis yfinance-api
Last synced: 12 Apr 2025
https://github.com/dipcode-software/wordpress-plugin-ipma-weather-widget
WordPress plugin providing a widget to display real-time forecast for any location in Portugal (mainland and archipelagos) in a WordPress website
forcasting weather wordpress wordpress-plugin
Last synced: 14 May 2025
https://github.com/soheshdoshi/forcastmodel
This Model is Base On Halt & Winter Algorithm.This Model is Forecast About Seasonal Data.
forcasting machine-learning numpy python
Last synced: 29 Apr 2026
https://github.com/wgierke/informaticup2018
Predicting the optimal strategy for fueling for a given route
convolutional-neural-networks fbprophet forcasting informaticup machine-learning prediction recurrent-neural-networks tensorflow timeseries-analysis
Last synced: 21 Jan 2026
https://github.com/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
data-visualization deep-learning feature-engineering fnn forcasting gru lstm machine-learning neural-networks
Last synced: 03 Apr 2025
https://github.com/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.
dataanalysis e-commerce forcasting jupyter-notebook machine-learning python statistical-analysis time-series
Last synced: 29 Apr 2026
https://github.com/shah-afraz411/financial-news-analysis-and-stock-prediction
A Project Exploring the Corelation Between Financial News and Stock Market Movements
data-analysis-python exploratory-data-analysis forcasting lstm-neural-networks python3 sentiment-analysis
Last synced: 30 Apr 2026
https://github.com/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.
forcasting neural-network tensorflow
Last synced: 04 May 2026
https://github.com/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.
aws aws-lambda aws-s3 data-engineering data-science data-visualization delta-lake docker forcasting mlops-project pyspark unix-shell
Last synced: 20 May 2026
https://github.com/swethajoseph/urological-cancer-referral-forecast
Analysing and forecasting urological cancer referral patterns for NHS Scotland, aiming to improve management and operational efficiency.
data-visualization datacleaning excel forcasting statistical-analysis tableau time-series-analysis
Last synced: 04 Jan 2026
https://github.com/kunanonsurasorn/the_korean_fashion_online_shopping_forecasts
โปรเจคนี้จัดทำขึ้นเพื่อพยากรณ์ปริมาณการซื้อสินค้าประเภทเสื้อผ้า รองเท้า และ เครื่องแต่งกายอื่นๆในประเทศเกาหลีใต้
exponential-smoothing forcasting matplotlib pandas python sktime
Last synced: 23 Mar 2025
https://github.com/benjifinance/benjimlmodel
This is the ML model of the Benji Application
ai ai-prediction analyzing-data forcasting matchine-learning ml numpy pandas python3 random-forest
Last synced: 11 Apr 2026
https://github.com/csoren66/time-series-forecasting
Develop LSTM Models For Univariate Time Series Forecasting
forcasting lstm-neural-networks python time-series
Last synced: 03 Mar 2025
https://github.com/code-str8/time-series-forecasting
Developing a model that effectively forecasts the unit sales of numerous items across various Favorita stores with precision.
data dataanalysis forcasting machine-learning time-series visualizations
Last synced: 31 Mar 2025
https://github.com/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.
forcasting machine-learning-models r rstudio time-series-analysis
Last synced: 02 Mar 2025
https://github.com/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.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
Last synced: 17 Apr 2026
https://github.com/chandansoren/time-series-forecasting
Develop LSTM Models For Univariate Time Series Forecasting
forcasting lstm-neural-networks python time-series
Last synced: 24 Apr 2026