JisnaP/MLOPs-Project

MLOps project

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arpanpramanik2003/diabetes-prediction

Diabetes Prediction using Machine Learning is a classification project that predicts the likelihood of diabetes based on health parameters such as age, BMI, and blood pressure. The model is built using the Support Vector Machine (SVM) algorithm.

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chandadiya2004/diabetes-prediction

The Diabetes Prediction project utilizes machine learning techniques to determine the probability of an individual having diabetes based on various health metrics like age, BMI, and blood pressure. The prediction model is developed using the Support Vector Machine (SVM) algorithm, which classifies individuals based on these parameters.

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Khushi130404/Titanic_Pipeline

This project predicts whether a person survived the Titanic disaster based on various features using machine learning. It utilizes pipelines, ColumnTransformer, and model serialization for efficient processing and prediction.

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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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maheera421/Car-Price-Prediction-Model

A machine learning project that predicts car prices based on a dataset.

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AmbreenMahhoor/How-to-do-Column-Transformation

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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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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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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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LorenzoRottigni/ML-missing-values

Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy

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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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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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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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