Welcome to my Kaggle Projects repository, where I store my personal solutions as part of my learning journey in data science and machine learning.
This repository serves as a record of my personal challenges on Kaggle, where I tackle different datasets and problems to enhance my skills in data analysis, predictive modeling, and other areas related to data science.
Here's a list of projects I have tackled to date (📊 and 🤖 denote whether the project contains Statistical Analysis and/or Modeling, respectively):
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🐲Pokémon - 📊: Explored a Pokémon dataset, conducting in-depth statistical and visual analysis to unveil patterns and quirks in their characteristics.
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🛳️Titanic - 🤖: Developed a binary classification model of the Titanic dataset to predict passenger survival of the shipwreck.
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🏘️Housing price prediction - 📊🤖: Developed a regression model to predict housing prices based on various features.
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🎥IMDb movies - 📊: Explored an IMDb movies dataset, conducting a comprehensive data pre-processing and an in-depth statistical analysis to find valuable patterns.
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⛅Daily atmospheric data - 📊🤖: Developed a regression model capable of predicting atmospheric data with strong seasonality. Machine Learning (Random Forest), Deep Learning (LSTM and CNN+LSTM) and ARIMA models have been explored.
Thank you for exploring my repository! If you have any questions, suggestions, or just want to connect, feel free to reach out:
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🌐LinkedIn: Albert Gallego Jiménez
I hope you find the projects here helpful and inspiring for your own Kaggle challenges!