feature-engineering-algorithm

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daemonX10 / AI-ML-Engineer-Roadmap

Structured AI and Machine Learning learning workspace covering Python, statistics, feature engineering, machine learning, deep learning, NLP, LLMs, CUDA, and big data.

visualization python data-science machine-learning ai deep-learning numpy exploratory-data-analysis pandas data-analysis feature-engineering model-from-scratch feature-engineering-algorithm large-language-models generative-ai

Updated Jun 16, 2026
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fatimagulomova / iu-lessons

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IU Lessons

python machine-learning random-forest sklearn pandas feature-selection supervised-learning feature-engineering clustering-algorithm kmeans-clustering mutual-information feature-scaling unsupervised-machine-learning chi-square-test correlation-matrix pandas-python anova-test feature-engineering-algorithm feature-variance

Updated Jun 4, 2024
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MukundAabha / Predictive-Modeling-On-Concrete-Dataset

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Predictive Modeling On Concrete Dataset with EDA , Feature Engineering and With All Machine Learning Algorithms

machine-learning machine-learning-algorithms eda feature-engineering feature-engineering-algorithm

Updated May 1, 2022
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mwasifanwar / automl_framework

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Comprehensive AutoML framework that automates data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment. Features neural architecture search and automated data cleaning pipelines.

python data-science machine-learning scikit-learn machine-learning-algorithms hyperparameter-optimization feature-engineering automl machine-learning-models mlops data-science-projects scikit-learn-python automl-algorithms feature-engineering-algorithm mlops-workflow feature-engineering-ml

Updated Nov 5, 2025
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mohd-faizy / Preprocess_ML

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This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.

data-science machine-learning scikit-learn preprocessor feature-selection feature-extraction outlier-detection feature-engineering feature-engineering-algorithm preprocessing-data

Updated Jul 2, 2024
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nikolaosmparoutis / Feature-Engineering-RegularizedNonNegativeMatrixFactorization

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Optimization in RegularizedΝon-negative Μatrix Factorization. A feature engineering algorithm in multivariate analysis and linear algebra where a matrix Χ is factorized into (usually) two matrices W and H (i call it C), with the property that all three matrices have no negative elements.Also the factorization works better for sparse data than PC…

optimization machine-learning-algorithms python3 feature-engineering-algorithm