A simple Linear Regression project on a simple dataset for beginners.
-
Updated
Oct 11, 2024 - Jupyter Notebook
#
r2score
Here are 23 public repositories matching this topic...
The dataset used for this project is taken from the official UCI Machine Learning Repository.
python data-science machine-learning data-mining linear-regression scikit-learn sklearn data-visualization data-analysis ridge-regression support-vector-machines lasso-regression pairplot r2score svr-regression-prediction elasticnet-regression steel-industry-energy-consumption
-
Updated
Jun 13, 2023 - Jupyter Notebook
This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.
xgboost lightgbm xgboost-algorithm catboost machinelearningalgorithms xgboost-classifier r2score rmse-score lightgbm-regressor lightgbm-classifier catboostregressor datavisualization-project catboost-classifier housepriceprediction dataanlaytics
-
Updated
Dec 16, 2024 - Jupyter Notebook
Exploratory Data Analysis & predicting medical insurance cost with machine learning.
python data-science data machine-learning insurance random-forest linear-regression scikit-learn exploratory-data-analysis pandas medical cost ridge-regression rmse lasso-regression mae r2score
-
Updated
Oct 9, 2021 - Jupyter Notebook
Exploratory Data Analysis & predicting medical insurance cost with machine learning.
python machine-learning insurance random-forest linear-regression mse r2score insurance-premium-predictor
-
Updated
Dec 5, 2021 - Jupyter Notebook
Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.
python life countries cross-validation data-visualization gdp data-cleaning alcohol factors kaggle-dataset bil immunization life-expectancy random-forest-regression multiple-linear-regression expectancy regression-model r2score mean-squared-error alcohol-intake
-
Updated
May 16, 2021 - Jupyter Notebook
Job-A-thon ML challenge
machine-learning cross-validation regression eda boosting-algorithms hyperparameter-tuning gridsearchcv onehot-encoding r2score ordinal-encoding gradientboostingregressor columntransformation
-
Updated
Jun 27, 2023 - Jupyter Notebook
The use of Machine Learning Regression models for predicting energy loads of buldings.
visualization machine-learning pipeline random-forest model numpy pandas seaborn supervised-learning xgboost matplotlib regression-models hyperparameter-tuning decision-tree-regression sckiit-learn gradient-boosting-regressor r2score
-
Updated
Mar 13, 2023 - HTML
Prediction model for Delivery Time by Simple Linear Regression
python math numpy excel linear-regression sklearn jupyter-notebook pandas seaborn excel-functions excel-filter mean-square-error excel-formulas train-test-split r2score excel-formula-calculation excel-file-handling excel-files excel-features metplotlib
-
Updated
Sep 6, 2023 - Jupyter Notebook
This repository is about Analysis of Cricket Chirps, Brain-Body Weight, and Salary Discrimination Data: Linear regression, visualization,R2 squared and correlation assessments.
-
Updated
Oct 18, 2023 - Jupyter Notebook
Flight fare Prediction end-to-end project
bootstrap flask machine-learning html5 deployment random-forest css3 pipelines mse flight pickle rmse mae r2score
-
Updated
Jan 12, 2022 - Jupyter Notebook
House Price prediction in US
-
Updated
Apr 7, 2023 - Jupyter Notebook
Prediction model for profit of 50 startups dataset by Multiple Linear Regression
python math numpy excel linear-regression sklearn jupyter-notebook pandas seaborn train-test-split label-encoder r2score mean-squared-error excel-files metplotlib
-
Updated
Sep 6, 2023 - Jupyter Notebook
python data-science correlation numpy excel csv-files pandas seaborn strength matplotlib ppt jupiter-notebook multiple-linear-regression train-test-split r2score
-
Updated
Jan 9, 2024 - Jupyter Notebook
This project provides a performance evaluation of credit card default prediction. Thus different models are used to test the variable in predicting the credit default and we found Random Forest Classifier performs the best with a recall of 0.95 on the test set.
python lime classification-algorithm gradient-boosting random-forest-classifier shap xgboost-classifier r2score model-explainability
-
Updated
Mar 21, 2022 - Jupyter Notebook
A car price prediction model based on regressor task.
-
Updated
Aug 6, 2023 - Jupyter Notebook
Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app
flask data-science linear-regression python3 ridge-regression lasso-regression random-forest-regressor decision-tree-regression r2score elasticnet-regression kneighborsregressor
-
Updated
Jan 18, 2024 - Jupyter Notebook
Prediction model for Salary Hike by Simple Linear Regression
python math numpy excel linear-regression sklearn jupyter-notebook pandas seaborn excel-functions excel-filter mean-square-error excel-formulas train-test-split r2score excel-formula-calculation excel-file-handling excel-dataset excel-features metplotlib
-
Updated
Sep 6, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the r2score topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the r2score topic, visit your repo's landing page and select "manage topics."