R, Classification, Stepwise Variable, A/B Testing
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Updated
May 3, 2022 - R
R, Classification, Stepwise Variable, A/B Testing
Using Decision Tree to predict Employee Attribution
It's a little knowledge base using some scripts that I faced in my professional life.
Advanced Machine Learning course taught at Linköping University. Learned how Machine Learning models can be utilized to solve regression and classification problems within the AI field.
Using the 'neuralnet' package in R for machine learning classification
Class projects
Classifying credit applicants with 9 different ML models
Business Analytics Project: Building predictive models for job change prompention (Grade: 15/20)
Amazon_product_sentiment_analysis_project_data_mining
Code on my Internship project in DDL lab
Supervised and Unsupervised statistical learning techniques applied on Pima Indians Diabetes Dataset
A multi-label classification model for classifying comments from Wikipedia talk page edits into different types of toxicity(insult, threat, identity hate, etc).
An Introduction to Statistical Learning exercise solution
Simple Gaussian process in R.
Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic
Classification using R
[R code] Application of the random forest machine learning classification algorithm
Statistics class project aimed at studying the relationship between temperature and other attributes such as humidity, pressure, etc in Szeged, Hungary to build effective predictive models.
This project was conducted at UT Tyler Data Analytics Lab with the goal of using historical patient data and neural networks to predict future opioid abuse.
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