house-prices-prediction-LGBM:This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.
SubmarineShield-underwater_anomaly_recognition_svm:⚓ ML system for submarine threat detection using SVM to classify sonar signals as mines or rocks. Features GridSearchCV optimization, sklearn pipelines, and comprehensive evaluation metrics for underwater anomaly recognition.
CaliforniaHousing__Prices:I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
Data-Science:iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python
Customer-Churn-Prediction-and-Analysis:Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
// repository documentation
Was this content helpful?
★ 0(0 ratings)
Recent Feedback
Download README
Do you want to download the README.md file for Hyperparameters-Optimization?