Projects from the Learn SQL certification from Codecademy.

PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples

Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"

Data Science Project - Full Depth analysis AND Prediction Using Decision Tree and Random Forest

Discrete Mathematics Final Project

Code used to plot the figures in "Extensive folding variability between homologous chromosomes in mammalian cells"

A Python module for analysis and visualization of dose-response data

Data Science Content from DNC School

This repository is meant to store the code examples used in articles posted on www.insidelearningmachines.com. Each article on the website will have an associated jupyter notebook here with the same name.

This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.

This repository contains the implementation of a diabetes detection system utilizing machine learning algorithms. The goal is to predict whether a patient has diabetes based on diagnostic measurements.

Topics related to Machine Learning

This project uses scikit-learn for linear regression analysis. With a dataset, we compare variables using functions like LinearRegression(). Guided by curiosity and machine learning, we seek patterns and correlations, inching closer to unraveling the data's secrets.

📊 Library to create graphs in Python 📊

This data analyzer allows you to compare population changes over the years between countries, continents, and the world through bar and pie charts. This project was created as the final project for Platzi's Python course.

Focusing on Sentiment Analysis .

Social network analysis of dolphins' interactions using NetworkX.

Exploratory Data Analysis (Univariate and Bivariate analysis) on World-wide Sugarcane Production dataset.

PW Skills Data Analytics Assignments