https://github.com/elprofesoriqo/datacampcompetitions

https://github.com/elprofesoriqo/datacampcompetitions

Last synced: 1 day ago
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• Host: GitHub
• URL: https://github.com/elprofesoriqo/datacampcompetitions
• Owner: elprofesoriqo
• Created: 2024-11-09T12:58:18.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-28T17:54:33.000Z (about 1 month ago)
• Last Synced: 2024-11-28T18:36:52.443Z (about 1 month ago)
• Language: Jupyter Notebook
• Size: 499 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Data Science and Machine Learning Projects Repository

This repository contains a collection of hands-on projects, exercises, and challenges designed to enhance skills in data science, machine learning, and algorithm development. The projects include guided learning exercises, competitive coding tasks, and exploratory analyses based on platforms like DataCamp, Kaggle, and various online competitions.

## Structure of the Repository:

Each project is structured to provide a self-contained experience, from data exploration to model evaluation and deployment, with clear explanations and code.

## Key Components:

DataCamp Exercises: Contains code and notes from DataCamp courses. Each folder focuses on specific topics like data preprocessing, exploratory data analysis, supervised and unsupervised learning, time series analysis, and natural language processing.

Kaggle Competitions: Project folders with Jupyter notebooks dedicated to popular Kaggle challenges. Examples include predictive modeling, classification, computer vision, and NLP tasks. Each competition includes:

Data preprocessing steps.

Feature engineering techniques.

Model training, hyperparameter tuning, and evaluation.

Final model submission files.