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datacamp-projects

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The London Weather Project aims to predict the mean temperature in London using historical weather data, involving data cleaning, feature engineering, and modeling with techniques like imputation, transformation, scaling, and the use of MLflow for tracking model performance and hyperparameters.

  • Updated Jun 24, 2025
  • Jupyter Notebook

This project aims to explore the classification of Antarctic penguin species based on their physical measurements using unsupervised machine learning techniques. The dataset, known as the Palmer Penguins dataset, includes key features such as bill length, bill depth, flipper length, body mass, and sex.

  • Updated Apr 29, 2025
  • Jupyter Notebook
PBL-DataCamp

This repository features projects from DataCamp's Project-Based Learning (PBL) courses, showcasing practical applications of data analysis, machine learning, and visualization. Explore real-world datasets and interactive results that highlight the skills gained through hands-on learning.

  • Updated Oct 23, 2024
  • Jupyter Notebook

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