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

Data Science notebooks

My Kaggle Projects

Data science encompasses a wide range of areas, topics, and sub-domains such as Big Data, Machine & Deep learning (ETL, TensorFlow, Keras), Data Mining/Visualization (EDA), BI, Predictive Analytics, Statistical Analytics, etc.

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

Jupyter notebook for ANZ Australia Data@ANZ Program

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

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

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.

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

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).

🚨 👮 🕵️‍♂️ 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…

My iPython notebook visualizes more than 20 thousand housing data points from Seattle, WA and builds prediction models via multiple linear regression. In other words, a housing price prediction model was built using multiple house features such as square footage, zip code, year build, lot size, and more.

Airbnb is an online marketplace for arranging or offering lodging, primarily homestays, or tourism experiences since 2008. NYC is the most populous city in the United States and also one of the most popular tourism and business place in the world. Airbnb NYC 2019 data contains listing activity and metrics. The dataset has been taken from https:/…