Projects in Awesome Lists tagged with model-selection-and-evaluation

https://github.com/config-i1/greybox

Regression model building and forecasting in R

forecasting model-selection model-selection-and-evaluation r-package regression regression-models statistics

Last synced: 22 Oct 2025

https://github.com/girish119628/codsoft

Data Enthusiast | Predictive Modeler | Turning Insights into Strategies

cross-validation data-cleaning-and-preprocessing exploratory-data-analysis model-selection-and-evaluation

Last synced: 08 May 2026

https://github.com/adi3042/data_science

📊🚀 Explore the Data Science Universe! Unlock insights and master data skills with hands-on assignments spanning machine learning, visualization, and more. Your journey to becoming a data expert starts here! 🎯💡 DataScienceJourney

anomaly-detection big-data-processing classification clustering computer-vision data-cleaning-and-preprocessing data-visualization deep-learning dimensionality-reduction ensemble-learning exploratory-data-analysis feature-engineering machine-learning model-deployment model-selection-and-evaluation natural-language-processing regression-analysis statistical-analysis time-series-analysis-and-forecasting

Last synced: 17 Jan 2026

https://github.com/avinash793/time-series-analysis-examples

Detailed implementation of various time series analysis models and concepts on real datasets.

acf ar-model arima-model arma-model dickey-fuller-test forecasting-models garch-models hidden-markov-models model-diagnostics model-selection-and-evaluation pacf q-q-plot random-walk residuals time-series-analysis time-series-decomposition time-series-forecasting var-model volatility-modeling white-noise

Last synced: 15 May 2025

https://github.com/kumpatlapavankumar/medical-insurance-cost-estimation-using-machine-learning

Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques

accuracy-score data-science data-visualization decision-trees exploratory-data-analysis gradient-boosting-classifier label-encoding linear-regression machine-learning matplotlib model-selection-and-evaluation numpy pandas prediction preprocessing python random-forest train-test-split xgboost-regression

Last synced: 28 Apr 2026

https://github.com/lupusruber/rnmp_homework3

A Spark Streaming and Kafka-based project for processing health data in real-time. Includes a machine learning pipeline for predictions, Dockerized infrastructure, and scripts for data ingestion, model training, and streaming pipelines.

docker-compose kafka model-selection-and-evaluation spark-streaming

Last synced: 30 Apr 2026

https://github.com/lefteris-souflas/propensity-to-lapse-model-building-exercise

Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.

cluster-analysis data-driven-decisions data-preprocessing data-splitting decision-tree feature-engineering gradient-boosting logistic-regression model-interpretation model-optimization model-selection-and-evaluation neural-network random-forest sas-visual-analytics support-vector-machine