This repository contains 3 projects that were carried out and submitted for my ALX Udacity Data Analyst Course

Wrangling the WeRateDogs datasets to showcase data gathering, assessing, cleaning, and documentation skills.

This repository contains 3 projects that were carried out and submitted for my ALX Udacity Data Analyst Course

Predicting hotel booking cancellations using Machine Learning in R, with data preprocessing and model training. Random Forest achieved 85.23% accuracy, highlighting lead time and previous cancellations as key factors.

This repository holds all the projects for the ALXT Data Analysis Udacity Nanodegree Program

Udacity Data Analyst Nanodegree Project : Investigate a Dataset

Data Analyst Nanodegree is a six months program on Udacity platform. The Nanodegree is a project-based program with eight projects that cover all Python and its data analysis libraries (Numpy, pandas, Matplotlib), SQL, R, Practical Statistics (Linear, Multiple Linear, Logistic Regression...etc ), Wrangling and Analyzing Data and Tableau.

This project is part of the projects in the Data Analyst NanoDegree Program from Udacity

This project corresponds to data wrangling project within Udacity Data Analyst Nanodegree.

Data Wrangling Project from the Udacity Data Analytics Nano Degree

Analysis on WeRateDogs tweets

SWEETGUARD 🛡🔍 – A data-driven diabetes risk assessment tool that leverages machine learning and public health datasets to predict individualized diabetes risk scores. Using Python 🐍, Power BI 📊, and statistical analysis, this project identifies key lifestyle factors and empowers individuals with personalized health insights.