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multivariate-linear-regression

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dr-mushtaq / Machine-Learning

Star 35

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

python machine-learning model scikit-learn under classification logistic-regression unsupervised-learning decision-boundary feature-scaling scikitlearn-machine-learning multivariate-linear-regression underfitting multiple-features scikitlearn algbra inverse-and-transpose preprocessing-in-machine-learning gradient-descent-for-multiple-variables
  • Updated Dec 24, 2024
  • Jupyter Notebook

ws-garcia / VBA-Expressions

Star 21

A powerful string expression evaluator for VBA and LO Basic, which puts more than 100 mathematical, statistical, financial, date-time, logic and text manipulation functions at the user's fingertips.

science basic libreoffice mathematics mathematical-expressions-evaluator matrix-multiplication curve-fitting maths statistical-models lu-decomposition equation-systems multivariate-linear-regression mathematical-expression-parser cholesky-decomposition determinant-calculation cholesky-factorization lo-basic
  • Updated Sep 27, 2024
  • VBA

JBris / multivariate_analysis_examples

Star 18

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete Slump Test. Credit to Professor I-Cheng Yeh.

multivariate-distributions pca-analysis pca multivariate dimensionality-reduction concrete mds factor-analysis dimension-reduction multivariate-data multivariate-regression multivariate-analysis partial-least-squares-regression multivariate-statistics multivariate-linear-regression pls canonical-correlation-analysis nmds partial-least-squares redundancy-analysis
  • Updated Nov 20, 2024
  • Python

samtwl / Machine-Learning

Star 3

This repository contains several machine learning projects done in Jupyter Notebooks

machine-learning machine-learning-algorithms jupyter-notebook python3 topic-modeling logistic-regression decision-tree regularized-linear-regression multivariate-linear-regression machine-learning-models multi-class-classification gaussian-naive-bayes-implementation random-forest-regression gradient-boosting-regressor extreme-gradient-boosting
  • Updated Jun 10, 2019
  • Jupyter Notebook

Sameeksharajsb / Regression-Models-Clustering-and-Dimensionality-Reduction

Star 3

A hub that contains notebooks that implement Regression models, illustrates LR via Gradient Descent, compares K-means vs Spectral vs Hierarchical, compares PCA vs t-SNE

dimensionality-reduction logistic-regression gradient-descent t-sne ridge-regression principal-component-analysis multivariate-linear-regression supervised-machine-learning unsupervised-machine-learning spectral-clustering k-means-clustering heirarchical-clustering
  • Updated Aug 28, 2021
  • Jupyter Notebook

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