Elsa-Clave

Best-Books-Ever-Project

📚My Best Books Ever project uses a dataset from Zenodo to analyze and recommend books from GoodReads. It includes data cleaning, regression analysis, sentiment analysis, and a KNN-based recommendation system to help users find books based on their preferences.📗

Billboard-Spotify-Song-Recommender

🎵 Using Machine Learning K-Means clustering, this project provides personalized music suggestions. Scrapping the Billboard top 100 chart and collecting audio features from Spotify, the final product integrates all processing functions into one, checking Billboard popularity and providing tailored recommendations.🎼

Games

👾 A lot of fun , programmed games in Python

Sharks-Attacks-Analysis

🦈My first project involved cleaning and visualizing the Kaggle Shark Attack dataset using Python. Through data cleaning and wrangling, I uncovered intriguing correlations and formed hypotheses to explore. With compelling visualizations to support the findings, showcasing the power of data-driven insights in unraveling complex phenomena.🦈

UFO-Sightings-Project

🛸👽🔭This project explores over 60,000 records of UFO sightings dating back to 1949. The dataset , original from kaggle, underwent brief organization in Python, then segmented into MySQL tables for efficient querying, using primary and foreign keys. Visualizations created with Tableau offer insights into these phenomena.

Water-Consumption-in-Catalonia-Project

🌊The project analyzes water consumption trends in Catalonia using government-provided open data. After data collection via API proceeds with EDA to uncover patterns. Feature Engineering enhancing, followed by preprocessing for Linear Regression. The core focus lies in building regression model to predict water usage, with result analysis.🌧️

workshop-09

Elsa-Clave/Best-Books-Ever-Project

📚My Best Books Ever project uses a dataset from Zenodo to analyze and recommend books from GoodReads. It includes data cleaning, regression analysis, sentiment analysis, and a KNN-based recommendation system to help users find books based on their preferences.📗

Elsa-Clave/Billboard-Spotify-Song-Recommender

🎵 Using Machine Learning K-Means clustering, this project provides personalized music suggestions. Scrapping the Billboard top 100 chart and collecting audio features from Spotify, the final product integrates all processing functions into one, checking Billboard popularity and providing tailored recommendations.🎼

Elsa-Clave/Games

👾 A lot of fun , programmed games in Python

Elsa-Clave/Sharks-Attacks-Analysis

🦈My first project involved cleaning and visualizing the Kaggle Shark Attack dataset using Python. Through data cleaning and wrangling, I uncovered intriguing correlations and formed hypotheses to explore. With compelling visualizations to support the findings, showcasing the power of data-driven insights in unraveling complex phenomena.🦈

Elsa-Clave/UFO-Sightings-Project

🛸👽🔭This project explores over 60,000 records of UFO sightings dating back to 1949. The dataset , original from kaggle, underwent brief organization in Python, then segmented into MySQL tables for efficient querying, using primary and foreign keys. Visualizations created with Tableau offer insights into these phenomena.

Elsa-Clave/Water-Consumption-in-Catalonia-Project

🌊The project analyzes water consumption trends in Catalonia using government-provided open data. After data collection via API proceeds with EDA to uncover patterns. Feature Engineering enhancing, followed by preprocessing for Linear Regression. The core focus lies in building regression model to predict water usage, with result analysis.🌧️