Modeled discriminative prior problem learning privacy-utility trade-off Private Information Bottleneck un-supervised

An environmental data science project to assess Wildfire activity on the island of Sardinia.

Statistical analysis on different diet plans

Use Descriptive statistics and statistical inference to help ensure the survival of at-risk species

This is a statistical analysis research project on Analyzing Client Behavior in The Connection, sponsored by the Connection Inc. and Wesleyan Quantitative Analysis Center.

Linear regression model to predict the chance of admission to US graduate schools, for international students

Data science and big data specialization repository. Universidade Federal do Paraná (Feb. 2023 - July 2024)

This repository includes a web application that is connected to a product recommendation system developed with the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB, PySpark, and Apache Kafka.

Archived repo of data science Jupyter Notebooks (machine learning, statistical modeling, data analysis)

Statistics functions for python

In this project, we will construct deep learning models from scratch using NumPy , including linear regression, logistic regression, and neural networks. we also converge parameter estimation, back-propagation, and statistical inference.

This repo contains a data pipeline composed of Python and Big Query scripts that extract, clean, and aggregate data, as well as perform statistical significance tests. The code is fully orchestrated on Airflow and feeds a Tableau dashboard that displays the success metrics of surge pricing switchback experiments.

Mobile Games A/B Testing Analysis

A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.

Use statistical inference to investigate the relationship between supplement and tooth growth

Impact analysis of the SuperSneakers 101 on marathon runners’ performance

The project I produced for the 6th Course 'Statistical Inference' of 'Data Science Specialization' by 'Johns Hopkins University' at Cousera.

Hidden Markov Model (HMM) is a statistical Markov model in which the system being modelled is assumed to be a Markov process Z with unobservable "hidden" states. HMM assumes that there is another process X whose behaviour "depends" on Z. The goal is to learn about Z by observing X.

📊📉 Studio della variabile aleatoria di Poisson

This project uses statistical analysis and visualization to leverage customer's health information like smoking habits, BMI, age, gender, etc., and checks statistical evidences to make valuable decisions of insurance businesses like charges for health insurance.