https://github.com/atheeralzhrani/ml-projects
ML projects, which I worked on utilising different machine learning algorithms.
https://github.com/atheeralzhrani/ml-projects
classification-trees clustering-algorithm liner-regestion logistic-regression naive-bayes-algorithm regression-trees svm-classifier xgboost-classifier xgboost-regression
Last synced: 3 months ago
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ML projects, which I worked on utilising different machine learning algorithms.
- Host: GitHub
- URL: https://github.com/atheeralzhrani/ml-projects
- Owner: AtheerAlzhrani
- Created: 2024-03-05T22:23:00.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-29T05:16:44.000Z (10 months ago)
- Last Synced: 2025-01-29T11:33:37.830Z (5 months ago)
- Topics: classification-trees, clustering-algorithm, liner-regestion, logistic-regression, naive-bayes-algorithm, regression-trees, svm-classifier, xgboost-classifier, xgboost-regression
- Language: Jupyter Notebook
- Homepage:
- Size: 103 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Project4: Divorce Prediction
Utilises the Naive Bays Classifier to predict divorce likelihood using survey data from the
Divorce Predictors Scale (DPS), which consists of responses from both divorced and married
couples to 54 questions labelled Atr1 to Atr54.
# Project3: Predict buying behaviour
Aims to predict whether an individual would make a purchase based on their age and
estimated salary using the decision tree algorithm.
# Project2: Student Performance Prediction.
Aims to predict student study performance based on various factors using the XGBoost
Regressor model.
# Project1: Predicting bike rentals using XGBR model