predictive-analytics

My Kaggle Projects

✨ An authorial set of fundamental python recipes on Data Science and Analytics.

A Jupyter Notebook stack for example business analytics cases + a simulation study

Data Science notebooks

This repo features Kaggle notebooks with data science projects, including EDA, predictive analytics, and competition entries. It highlights practical applications of ML techniques and showcases continuous skill development in data science.

A Jupyter notebook that presents a data science solution to predict the likelihood of hospital readmission for patients, in response to the Hospital Readmissions Reduction Program (HRRP).

AI/ML Notebooks

Machine learning model that predicts student dropout risk in online learning using the OULAD dataset to enable early academic intervention

Predictive analysis using logistic regression to determine college admissions based on CET scores. This project includes detailed steps for data preparation, model training, and evaluation using Python and scikit-learn in a Jupyter Notebook environment.

Jupyter notebook for ANZ Australia Data@ANZ Program

Repository Containing PPT, Jupyter notebooks, Plotly Dashboard Code, Datasets (csv)

Customer analytics ML pipeline with notebooks for data prep, segmentation/propensity modeling, evaluation, and business-ready reporting.

🚨 👮 🕵️‍♂️ A simple project based in Data Science and Data Analysis for Criminology and Forensics worldwide. This project was built using Jupyter Notebook and Python, with the support of some libraries for Data Science and Data Visualisation, like NumPy, Matplotlib and Pandas. This project shows an intensive and detailed study case about some ind…

A collection of the scripts and notebooks I wrote as part of my Data Science Bootcamp capstone project

Elementary Differential Equations and Linear Algebra, Computer Engineering at KMITL. Linear Regression Project about Petrol Prediction using Jupyter Notebook

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

Implementation of Logistic Regression from scratch to predict the sex of penguin based on species, island and age using Python, Jupyer Notebook, Numpy, Pandas, Matplotlib

Um repositório em Python para armazenar códigos de exercícios da disciplina Análise de Dados e Big Data. Também, está presente o trabalho da disciplina, feito com o Jupyter Notebook.

Employee attrition analysis for Salifort Motors using EDA, statistical analysis, and machine learning. Developed Logistic Regression, Decision Tree, and Random Forest models to predict turnover risk, then translated findings into a Power BI analytics report with workforce insights, model eval, and HR retention strategies. For Kaggle notebook check:

Full-Stack Mobility Analytics platform with a glassmorphic frontend UI & cloud-deployed Flask API. Features real-time telemetry streaming, a scikit-learn 24-hr ride forecast engine, and weather correlation modules built to outpace static notebooks