An automated bot for interacting with the R2 Money protocol on the Sepolia testnet. This bot allows users to perform swaps between USDC and R2USD tokens, as well as stake R2USD to receive sR2USD tokens.
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Apr 27, 2025
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r2-score
Here are 71 public repositories matching this topic...
profit estimation of companies with linear regression
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Feb 6, 2021 - Jupyter Notebook
Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview …
competition data-science machine-learning regression-analysis random-forest-regression r2-score jobathon
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Feb 13, 2022 - Jupyter Notebook
It's designed to take you on a journey through the fundamental principles and applications of Linear Regression.
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Aug 21, 2024 - Jupyter Notebook
Machine/Deep Learning metrics implementation in python
machine-learning metrics mathematics python3 machine-learning-library metrics-visualization metrics-library mathematical-programming r2-score machine-learning-metrics
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Dec 12, 2022 - Python
A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models
machine-learning random-forest numpy linear-regression eda pandas seaborn logistic-regression preprocessing predictive-modeling accuracy-score r2-score matplotlib-pyplot k-fold-cross-validation
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Dec 3, 2020 - Jupyter Notebook
Predict sales prices and practice feature engineering, RFs, and gradient boosting
sklearn machine-learning-algorithms python3 mse kaggle-competition xgboost scipy gradient-boosting-machine matplotlib gradient-boosting-classifier kaggle-house-prices ipython3 stochastic-gradient-descent f1-score random-forest-regressor descion-making-systems r2-score
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May 20, 2018 - Python
Predicting house price
log linear-regression exploratory-data-analysis machine-learning-algorithms supervised-learning bayesian ridge-regression regression-models normalization elastic-net lasso-regression normal-distribution skewness correlation-analysis kurtosis random-forest-regression accuracy-score r2-score lasso-regression-model
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Dec 4, 2022 - Jupyter Notebook
Utilizando-se a técnica de regressão linear, com o auxílio dos frameworks scikit-learn e statsmodel, foi possível criar um modelo de predição de preços de imóveis, com base em variáveis explanatórias de um database.
python machine-learning linear-regression data-visualization seaborn statistical-analysis statsmodels boxplot r2-score
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Feb 14, 2024 - Jupyter Notebook
Perceptron regressing revenue for an ice cream stand according to temperature.
python tensorflow linear-regression scikit-learn perceptron normal-distribution simple-linear-regression r2-score mean-absolute-error neural-network-regression linear-regression-assumptions qq-plot ordinary-least-squares-regression chi-squared-distribution revenue-regression
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Jan 6, 2023 - Jupyter Notebook
Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.
numpy sklearn pandas data-visualization pca-analysis xgboost dimensionality-reduction xgboost-regression r2-score sklearn-metrics sklearn-model
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Jan 18, 2023 - HTML
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
machine-learning numpy pandas seaborn matplotlib random-forest-regression xgboost-regression accuracy-score r2-score catboostregressor
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Jul 15, 2024 - Jupyter Notebook
A data mining project to analyse Airbnb's data of Berlin for the year 2020 using KDD
berlin data-mining random-forest linear-regression airbnb word-cloud outliers missing-data kdd decision-trees data-processing neighborhood knn rmse large-dataset amenities seasonality r2-score mean-absolute-error insideairbnb
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Sep 17, 2020 - Jupyter Notebook
This repository contains a project for predicting house prices using multiple regression techniques and machine learning models, including boosting algorithms. The goal is to train several models on historical house price data and evaluate their performance using the R² score.
machine-learning random-forest linear-regression logistic-regression gradient-boosting house-price-prediction r2-score decesion-trees
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Oct 2, 2024 - Jupyter Notebook
This project used various machine learning algorithms to predict rainfall.
svm linear-regression logistic-regression decision-trees jaccard-similarity knn f1-score r2-score mean-absolute-error mean-squared-error
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Oct 25, 2022 - Jupyter Notebook
This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.
python data-science machine-learning scikit-learn cross-validation data-visualization mse regularization ridge-regression polynomial-regression grid-search rmse regression-analysis r2-score model-optimization overfitting-prevention
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Mar 30, 2025 - Python
A machine learning web app for Boston house price prediction.
python flask machine-learning numpy linear-regression sklearn cross-validation regression pandas seaborn matplotlib regression-models boston-housing-price-prediction rmse boston-housing-prices boston-housing-dataset random-forest-regression xgboost-regression joblib r2-score
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Dec 8, 2022 - Jupyter Notebook
ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
thesis xgboost svr knn-regression support-vector-regression kfold-cross-validation gridsearchcv interpretable-machine-learning r2-score shap shapley-values xgbregressor shapley-additive-explanations multi-scale-model lignin-biosynthesis populus-trichocarpa
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Mar 26, 2021 - Jupyter Notebook
This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
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Dec 3, 2019 - Jupyter Notebook
Detailed data analysis followed by predictive analytics of crimes in india over a period of 2001-2013.
exploratory-data-analysis predictive-analytics random-forest-regressor knn-regression decision-tree-regression r2-score crimes-data crimes-india
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Oct 1, 2022 - Jupyter Notebook
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