sumitdeole/supervised-ml

This project uses the famous housing price prediction dataset and employs the two supervised ml algorithms (classification and regression).

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shaadclt/IPL-Win-Probability-Predictor

The IPL Win Probability Predictor is a web application built using Streamlit. It uses a machine learning model to predict the probability of a team winning an IPL match based on various factors such as batting team, bowling team, host city, target, score, overs completed, and wickets.

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ayushtiwari134/multiple_disorder_predictor

This application predicts the likelihood of obesity and diabetes in a person based on various inputs. It utilizes machine learning models, pipelines, and column transformers to efficiently handle data and provide predictions.

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KhaledTofailieh/Titanic-Survive-Prediction

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KhaledTofailieh/Bank-Deposits-Classification

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bogumilo/house-prices-xgboost

House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression

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avd1729/Alzheimer-s-Classification-Web-App

Alzheimer's Disease Classification using Decision tree

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iamkirankumaryadav/Car-Price-Prediction

Car Price Prediction

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schatzederwelt/stock-prices-cars

Прогнозирование рыночной стоимости автомобилей

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starkjones/Food-Sales-Predictions

Predicting sales volume at various stores

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kengz/feature_transform

Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.

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nani757/Column-Transformer-

Column-Transformer is the method where you can use this feature and you can implement one-hot encoding and OrdinalEncoding both together

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dadavalangege/Advanced_Machine_Learning

Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.

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