Topic: "machine-learning-regression"
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
Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 70

berylgithub/ppbap
Protein-protein interaction Binding Affinity Prediction
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

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.
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2

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
Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 3

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.
Language: Jupyter Notebook - Size: 5.44 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

KishorAlagappan/house-price-prediction-app
π‘ Empower property market decisions with a machine learning model predicting house prices using the Boston Housing dataset. πΈπ πΉ
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

nachocarracedo/portfolio
Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

morpheusthewhite/bachelor-thesis
The latex code of my bachelor thesis at Sapienza University of Rome
Language: TeX - Size: 28.8 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

sammy9867/Machine-Learning-Regression
Multi-Linear and Binary Logistic Regression in C.
Language: C - Size: 4.68 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

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.
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

shahjan49/CODSOFT
CODSOFT Data Science Internship Project Tasks.
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ShreeKeshavan/Car_price_prediction
π Engineered a high-performing car price prediction model, empowering informed decisions in the dynamic car market. ππ°
Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

KishorAlagappan/car-price-prediction-app
π Engineered a high-performing car price prediction model, empowering informed decisions in the dynamic car market. ππ°
Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Sidx369/ML-Regression-Notebooks
Machine Learning Regression use case notebooks
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augustinasn/_data_science_projects
Size: 48.3 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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 Notebook - Size: 165 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
