A sales predictor machine learning model.
apply machine learning algorithm, such as regression, tree methods, as well as a series of feature engineering to predict housing price
What factors influence runners
Entries for the Kaggle Home Credit Group credit default competition.
This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.
Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to optimize the profit from ad
Regression Analysis - Toyota Corolla price prediction
Final project for "How to win a data science competition" Coursera course
Implementing Catboost
Classroom-PeopleCounting.
Course Work on Machine Learning covering Supervised and Unsupervised Algorithms
Random Forest Classification
[xgboost/ tidymodels/ bookdown] Boosting methods for regression: Theory and application in R
This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.
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