Predict Health Insurance Owners' who will be interested in Vehicle Insurance

• UpdatedNov 18, 2020
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In this project, I have created a Machine Learning model using XGBClassifier to Detect Parkinsons Disease with eXtreme Gradient Boosting (XGBoost).

• UpdatedMay 30, 2020
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In this Python machine learning project, using the Python libraries scikit-learn, numpy, pandas, and xgboost, I have build a model using an XGBClassifier. We’ll load the data, get the features and labels, scale the features, then split the dataset, build an XGBClassifier, and then calculate the accuracy of our model.

• UpdatedJul 5, 2021
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Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.

• UpdatedMay 19, 2024
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Heart Attack Analysis & Prediction model created for DataTalks.Club mlzoomcamp course

• UpdatedMar 7, 2024
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Weather Prediction With Gradient Boost

• UpdatedApr 15, 2022
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Bank Marketing Classifcation machine learning using 6 Models each of models given another accuracy

• UpdatedSep 26, 2024
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Segmenting customers of an audiobook platform and predicting their future purchase.

• UpdatedJan 28, 2022
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Задача от Яндекс.Практикум и Samokat.tech – реализовать векторный поиск и решить усечённую задачу матчинга

• UpdatedMay 24, 2023
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Real case of classification with machine learning. Analysis of real data from telemarketing campaigns of a Portuguese bank.

• UpdatedMay 24, 2022
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Predict Health Insurance Owners who will be interested in Vehicle Insurance

• UpdatedFeb 21, 2023
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• UpdatedAug 3, 2024
• Python

Develop supervised model which predict the loan defaulter in python using XGBClassifer

• UpdatedAug 28, 2020
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Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier

• UpdatedFeb 4, 2024
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Using supervised learning on Lending Club loan data to predict default and / or bad loans

• UpdatedDec 27, 2022
• Python

Clustering bank loan customers using KMeans clustering and predicting their loan statuses using XGBClassifier. The prediction model is explained with SHAP values.

• UpdatedFeb 9, 2022
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Diyabet Tespiti Projesi 💉

• UpdatedOct 6, 2024
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Health-insurance-cross-sell-prediction

• UpdatedFeb 11, 2025
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ReneWind operates wind farms. Unexpected turbine failures are presenting operational and financial problems. This project uses machine learning to develop a model that accurately predict component failure, which will give the firm more control over maintenance scheduling, costs and power generation.

• UpdatedNov 7, 2022

Malware Detection is a Kaggle Competition held privately which detects the probability of a machine being infected with malware or not given various features of each machine.

• UpdatedDec 3, 2020
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