Topic: "feature-engineering-algorithm"
daemonX10/Machine-Learning
Comprehensive notes and code on Python, data analysis, visualization, machine learning, and deep learning from my AI engineer learning journey.
Language: Jupyter Notebook - Size: 512 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
ALYAMBR/GDR
Algorithm for interpretable dimension reduction via symbolic regression on genetic programming
Language: Python - Size: 32.2 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
MukundAabha/Predictive-Modeling-On-Concrete-Dataset
Predictive Modeling On Concrete Dataset with EDA , Feature Engineering and With All Machine Learning Algorithms
Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
nikolaosmparoutis/Feature-Engineering-RegularizedNonNegativeMatrixFactorization
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 PCA and better interpretation.
Language: Python - Size: 36.1 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
Chris96bal/ML_Classification
Spotify Classification Problem 2023
Language: Jupyter Notebook - Size: 744 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
mwasifanwar/automl_framework
Comprehensive AutoML framework that automates data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment. Features neural architecture search and automated data cleaning pipelines.
Language: Python - Size: 34.2 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
mohd-faizy/Preprocess_ML
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.
Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
fatimagulomova/iu-lessons
IU Lessons
Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
