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rajchandran006-ops / repository
RFD Classification Machine Learning project developed using Python and Jupyter Notebook. This project includes data preprocessing, exploratory data analysis, feature engineering, and implementation of multiple classification algorithms such as Logistic Regression, Random Forest, SVM, KNN, and Naive Bayes for prediction and accuracy evaluation.
This project is a Machine Learning Classification system developed using Python and Jupyter Notebook. The main objective of the project is to classify and analyze dataset records using multiple machine learning algorithms and compare their prediction performance. The project includes data preprocessing, exploratory data analysis, feature engineering, model training, testing, and evaluation.
The goal of this project is to build an efficient classification model capable of analyzing data and generating accurate predictions using supervised machine learning algorithms.
Raj Kumar
Selected from shared topics, language and repository description—not editorial ratings.
MariSelvam-Git /
RFD Classification Machine Learning project developed using Python and Jupyter Notebook. This project includes data preprocessing, exploratory data analysis, feature engineering, and implementation of multiple classification algorithms such as Logistic Regression, Random Forest, SVM, KNN, and Naive Bayes for prediction and accuracy evaluation.