Pinned Repositories
Project-Predicting-Heart-Disease-with-Classification-Machine-Learning-Algorithms
Predict whether a patient should be diagnosed with Heart Disease. Examine trends & correlations within our data. Determine which features are most important to Heart Disease diagnosis. We would like to deploy a Machine Learning algorithm where we can train our AI to learn & improve from experience. Thus, we would want to classify patients for Heart Disease.
The-Suicide-Crisis-in-Data
From growing up in the heart of Silicon Valley, I have always wondered what was the factors that play a role in Suicide. There have been a plethora of suicide clusters from my High School in Palo Alto. This project seeks to explore the underlying factors. We will use a sample of 44,000 gather data from 141 different Countries, between the 80's to 2016.
jararzaidi's Repositories
jararzaidi/Project-Predicting-Heart-Disease-with-Classification-Machine-Learning-Algorithms
Predict whether a patient should be diagnosed with Heart Disease. Examine trends & correlations within our data. Determine which features are most important to Heart Disease diagnosis. We would like to deploy a Machine Learning algorithm where we can train our AI to learn & improve from experience. Thus, we would want to classify patients for Heart Disease.
jararzaidi/The-Suicide-Crisis-in-Data
From growing up in the heart of Silicon Valley, I have always wondered what was the factors that play a role in Suicide. There have been a plethora of suicide clusters from my High School in Palo Alto. This project seeks to explore the underlying factors. We will use a sample of 44,000 gather data from 141 different Countries, between the 80's to 2016.
jararzaidi/CS506-Computational-Tools-for-Data-Science
Repository for CS 506 / ENG 500 as taught by Mark Crovella - BU Computer Science
jararzaidi/CS506-Fall2021
Course repository for CS506
jararzaidi/gitclass
jararzaidi/gitclass2
jararzaidi/ModelingChurningCustomersR
Modeling & Predicting Churning Customers in R
jararzaidi/Predicting-Customer-Revenue-with-Classification-Machine-Learning-Algorithms-Python-
Predicting Customer Revenue with Classification Machine Learning Algorithms (Python)
jararzaidi/Project-Predicting-the-Perfect-Ratio-of-Red-Wine-Ingredients-with-Regression-Machine-Learning-Algor
Predict the perfect ratio of ingredients for red wine. This is a numerical discrete outcome. Explore with various Regression Models & see which yields greatest accuracy. Examine trends & correlations within our data. Determine which features are important in determing the quality of red wine. Note: Due to the fact that we are predicting a numerical discreet value, we will be training various Regression Models.