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srafay / Machine_Learning_A-Z

Star 361

Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az
  • Updated Jun 15, 2021
  • Python

agrawal-priyank / machine-learning-regression

Star 83

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

python machine-learning linear-regression coursera gradient-descent ridge-regression polynomial-regression university-of-washington house-price-prediction multiple-regression machine-learning-regression
  • Updated Dec 8, 2023
  • Jupyter Notebook

dominance-analysis / dominance-analysis

Star 146

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

feature-selection logistic-regression feature-engineering regression-models predictor multiple-regression feature-importance classification-model relative-importance dominance-analysis r-square shapley-value keydrivers dominance dominance-statistics predictor-importance pseudo-r-square
  • Updated Aug 17, 2023
  • Python

ditikrushna / Predict-Sales-Revenue-Using-Multiple-Regression-Model

Star 22

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spen…

data-science seaborn regression-models multiple-regression multiple-regression-analysis
  • Updated Jun 9, 2020
  • Jupyter Notebook

chuphalashit19 / Machine-Learning-Basics

Star 0

Machine Learning Techniques (Regression, Classification, Classifier, Support Vector Machines, Clustering)

python machine-learning linear-regression jupyter-notebook regression classification logistic-regression recommender-system polynomial-regression support-vector-machines regression-models clustering-algorithm svm-classifier churn-prediction non-linear-regression classifier-model multiple-regression k-nearest-neighbors
  • Updated Jun 28, 2020
  • Jupyter Notebook

bnriiitb / Machine-Learning

Star 1

This repository contains all the Machine Learning projects that I have developed/worked in the areas of Natural Language Processing and Computer Vision by using the Machine Learning frameworks such as scikit-learn and h2o.

python machine-learning reinforcement-learning random-forest clustering numpy svm linear-regression scikit-learn pandas seaborn naive-bayes-classifier supervised-learning logistic-regression decision-trees unsupervised-learning knn h2oai multiple-regression
  • Updated Jun 25, 2018
  • Jupyter Notebook

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