machine-learning-regression

There are 23 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

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  • 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.

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  • 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

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  • berylgithub/ppbap

    Protein-protein interaction Binding Affinity Prediction

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  • 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.

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  • AkashSaxenaOfficial/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

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

    Data analysis with Python to building and evaluating data models.

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  • 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.

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  • KishorAlagappan/house-price-prediction-app

    🏑 Empower property market decisions with a machine learning model predicting house prices using the Boston Housing dataset. πŸ’ΈπŸ πŸ’Ή

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  • nachocarracedo/portfolio

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  • shahjan49/CODSOFT

    CODSOFT Data Science Internship Project Tasks.

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  • modwedar/machine-learning-regression

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  • morpheusthewhite/bachelor-thesis

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

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  • sammy9867/Machine-Learning-Regression

    Multi-Linear and Binary Logistic Regression in C.

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  • Sidx369/ML-Regression-Notebooks

    Machine Learning Regression use case notebooks

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  • KishorAlagappan/car-price-prediction-app

    πŸš— Engineered a high-performing car price prediction model, empowering informed decisions in the dynamic car market. πŸš˜πŸ’°

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  • paschalugwu/alx-data_science-regression

    Agricultural Yield and Population Forecasting: Utilizing machine learning to enhance crop yield and predict global population trends, informing sustainable development and policy decisions.

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  • shahjan49/Machine-Learning-

    Machine Learning Projects

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  • ShreeKeshavan/Car_price_prediction

    πŸš— Engineered a high-performing car price prediction model, empowering informed decisions by Identifying the key features that most influence car prices in the market. πŸš˜πŸ’°

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  • Lucky-akash321/House-Price-Prediction

    Project uses machine learning algorithms to predict house prices based on features like location, size, and amenities. It involves data preprocessing, feature engineering, and training models to achieve accurate predictions. The project aims to provide insights for real estate investment and pricing strategies.

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  • 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

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  • sachink1729/Regression-Algorithms

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

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  • 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).

    Language:Jupyter Notebook101