Overview of statistical learning methods for classification
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Updated
Apr 14, 2022 - HTML
Overview of statistical learning methods for classification
NBA classification model
Classification methods applied to an imbalanced big dataset
Data Analysis and Predictive Analysis of Algorithms on the Titanic Dataset
Final project progress will be posted here.
Algorithmic Trading in R
Prediction of Coronary Heart Disease(CHD) using South African Heart Disease Data
Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.
Feature Engineering and Prediction of Survivors on the Titanic Dataset
This repository houses the files related to my homework assignments for the Multivariate Analysis class. Throughout the coursework, I utilized R Studio for all of my work. In addition to the homework, I also completed two projects as part of this course. Feel free to explore the files and projects included here to gain insights into the MVA class.
Heart Disease Predictor QDA Framingham Dataset
Project based on the application of distinct classification algorithms in order to determine the cause of wildfires.
Using data from the Human Activity Recognition to predict correct and incorrect position of the Unilateral Dumbbell Bicep Curls.
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