Final Cybersecurity ML project of Marc Mestre and Yana Veitsman for Data Mining and Machine Learning course at University of Valencia, Spring 2021
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May 22, 2021 - Python
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minmaxscaling
Here are 3 public repositories matching this topic...
A Streamlit web app utilizing Python, scikit-learn, and pandas for used car price prediction. Features data preprocessing (scaling, encoding), Random Forest model optimization with GridSearchCV, and interactive user input handling. Achieves high accuracy (R² score: 0.9028), showcasing skills in machine learning, data engineering, and deployment.
python encoding machine-learning random-forest regression eda pandas feature-selection feature-extraction pickle prediction-model normalization dataanalysis fine-tuning datacleaning datapreprocessing minmaxscaling streamlit randomsearch-cv featureimportance
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Nov 27, 2024 - Python
This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.
scikit-learn sklearn scikitlearn-machine-learning datascale sklearn-library minmaxscaling scikit-learn-python robust-scaling standardscaler
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Aug 4, 2020 - Python
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