machine-learning-regression

There are 6 repositories under machine-learning-regression topic.

• agrawal-priyank / machine-learning-regression

  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

  linear-regressionmultiple-regressionhouse-price-predictionridge-regressionpolynomial-regressiongradient-descentpythonmachine-learningmachine-learning-regressioncourserauniversity-of-washington
  Language:Jupyter Notebook 87

• bissessk / Regression-Analysis-of-COVID-19

  The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

  machine-learningmachine-learning-regressionscikit-learnscikitlearn-machine-learningregressionregression-modelslinear-regressionpolynomial-regressionridge-regressionsvm-regressordecision-tree-regressioncovid-19covid19covid19-datacovid-dataregression-analysisregression-model
  Language:Jupyter Notebook 7

• berylgithub / ppbap

  Protein-protein interaction Binding Affinity Prediction

  machine-learning-regressioncomputational-biophysicsscoring-functionsparallel-computing
  Language:Jupyter Notebook 5

• ajitmane36 / Bike-Sharing-Demand-Prediction-ML-Regression

  This project aims to build a predictive model that could predict the number of rental bikes required for each hour using the Seoul Bike Sharing dataset. Linear regression, Lasso (L1), Ridge (L2), ElasticNet, Decision Tree, Random Forest, and XGBoost algorithms are used to build a model to predict the number of rental bikes required for each hour.

  machine-learning-regression
  Language:Jupyter Notebook 4

• Nehaal-Patel / Machine-Learning-Regression-Models

  This repo covers the basic machine learning regression projects/problems using various machine learning regression techniques and MLP Neural Network regressor through scikit learn library

  machine-learning-regressionregression-modelscikit-learnmlp-regressorlinear-regressionlasso-regressionridge-regressionstochastic-gradient-descent
  Language:Jupyter Notebook 4

• cgatama / 7-Data-Analysis-with-Python

  Data analysis with Python to building and evaluating data models.

  collecting-datadata-pipelinesexploratory-data-analysisformatting-dataimporting-and-cleaning-datalinear-regressionmachine-learning-regressionmodel-refinementmultiple-regressionnumpypandas-librarypolynomial-regressionpreparing-datascikit-learnscipysummarizing-datadataframe-manipulation
  Language:Jupyter Notebook 3

• skynoid2612 / Employee_Absenteeism

  The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism

  data-sciencemachine-learning-algorithmsmachinelearning-rmachine-learning-modelsmachine-learning-regressionexploratory-data-analysismissing-valuesfeature-selectionfeature-scalingknn-regressionknn-modeldecision-tree-regressionrandom-forest-regressionlinear-regressordata-analysisdata-visualization
  Language:Jupyter Notebook 3

• KhushiBhadange / Regression-Models

  In this repository, delve into the realm of regression modeling featuring an array of algorithms applied to diverse datasets. Explore the strengths and nuances of different regression techniques, providing a comprehensive overview for anyone interested in predictive modeling.

  feature-engineeringfeature-selectionlinear-regressionmachine-learning-regressionmultiple-regressionpolynomial-regressionpredictive-modelingpredictive-modeling-techniquesregressionregression-analysisregression-modelsregression-techniquedata-science-regression
  Language:Jupyter Notebook 2

• KishorAlagappan / house-price-prediction-app

  🏡 Empower property market decisions with a machine learning model predicting house prices using the Boston Housing dataset. 💸🏠💹

  data-preprocessingdata-sciencedata-visualizationgit-githubmachine-learningmachine-learning-regressionmodel-training-and-evaluationpythonversion-control
  Language:Jupyter Notebook 2

• nachocarracedo / portfolio

  machine-learningtutorialmachine-learning-classificationpythonpython-notebookvisualizationedamachine-learning-regressionportfoliodata-sciencedata-analysisdata-visualizationdatascience
  Language:Jupyter Notebook 2

• modwedar / machine-learning-regression

  machine-learningmachine-learning-algorithmsmachine-learning-regressionmachinelearning
  Language:Jupyter Notebook 1

• morpheusthewhite / bachelor-thesis

  The latex code of my bachelor thesis at Sapienza University of Rome

  machine-learningregressionmachine-learning-regressionthesisthesis-projectsapthesisface-detectionopencvviola-joneslinear-programmingcplexpythonlatex
  Language:TeX 1

• sammy9867 / Machine-Learning-Regression

  Multi-Linear and Binary Logistic Regression in C.

  cmachine-learning-regressionbinary-logistic-regressionmulti-linear-regression
  Language:C 1

• Sidx369 / ML-Regression-Notebooks

  Machine Learning Regression use case notebooks

  regression-modelsmachine-learning-regression
  Language:Jupyter Notebook 1

• KishorAlagappan / car-price-prediction-app

  🚗 Engineered a high-performing car price prediction model, empowering informed decisions in the dynamic car market. 🚘💰

  data-cleaningdata-preprocessingdata-sciencedata-visualizationfeature-engineeringhyperparameter-tuningmachine-learningmachine-learning-regressionmodel-building-and-evaluationpython
  Language:Jupyter Notebook 0

• ShreeKeshavan / Car_price_prediction

  🚗 Engineered a high-performing car price prediction model, empowering informed decisions by Identifying the key features that most influence car prices in the market. 🚘💰

  data-cleaningdata-preprocessingdata-sciencedata-visualizationfeature-engineeringhyperparameter-tuningmachine-learningmachine-learning-regressionmodel-building-and-evaluationpython
  Language:Jupyter Notebook 0

• PrasetyoWidyantoro / Predict-Global-Competitiveness-

  Predict Global Competitiveness merupakan program memprediksi value dari Global Competitiveness Index yang setelah tahun 2019 tidak kunjung dikeluarkan oleh pihak bank dunia, program ini merupakan salah satu alternative untuk melihat score GCI dengan menggunakan data Socio-Economics dan Enviromental Indicator

  economic-dataeconomic-indicatorsstatistical-analysisenvirontment-variablemachine-learning-regressionregression-modelsnational-competitiveness
  Language:Jupyter Notebook

• sachink1729 / Regression-Algorithms

  This is my college practice work, where i try to learn and cover all the regression algorithms (preferably in python)

  knn-algorithmknn-regressionlasso-regressionlinear-regressionmachine-learning-algorithmsmachine-learning-regressionmpgregression-algorithmsregression-modelsridge-regressionsgd-regressionstochastic-gradient-descent
  Language:Jupyter Notebook

• sachink1729 / Tree-Based-Regression-Algorithms

  This is my college practice work, where i try to learn and cover all the tree based regression algorithms (preferably in python).

  adaboost-learningadaboostingdecision-tree-regressiondecision-treesdecision-trees-learningensemble-learningextra-trees-regressorgradient-boostinggradient-boosting-regressormachine-learning-algorithmsmachine-learning-regressionmachine-learning-treerandom-forestrandom-forest-regression
  Language:Jupyter Notebook

• shahjan49 / CODSOFT

  CODSOFT Data Science Internship Project Tasks.

  machine-learningmachine-learning-algorithmsmachine-learning-classificationmachine-learning-modelsmachine-learning-regression
  Language:Jupyter Notebook

• shahjan49 / Machine-Learning-

  Machine Learning Projects

  machine-learningmachine-learning-algorithmsmachine-learning-classificationmachine-learning-clusteringmachine-learning-regression
  Language:Jupyter Notebook