https://github.com/xkomil/datasciencesummerstudy

I want to document in this repository all my studying data science topics
https://github.com/xkomil/datasciencesummerstudy

data-science data-visualization machine-learning meteostat numpy pandas seaborn sklearn streamlit-webapp

Last synced: 2 days ago
JSON representation

I want to document in this repository all my studying data science topics

• Host: GitHub
• URL: https://github.com/xkomil/datasciencesummerstudy
• Owner: xKomil
• License: mit
• Created: 2024-07-15T20:46:43.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-08-13T23:05:21.000Z (3 months ago)
• Last Synced: 2024-08-14T22:21:54.257Z (3 months ago)
• Topics: data-science, data-visualization, machine-learning, meteostat, numpy, pandas, seaborn, sklearn, streamlit-webapp
• Language: Jupyter Notebook
• Homepage:
• Size: 7.16 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# DataScienceSummerStudy

I want to document in this repository all my studying data science topics

# Numpy

Fundamentals

More Info [here](_numpy/_numpy.md)

# Pandas

Fundamentals

More Info [here](_pandas/_pandas.md)

# EDA Ekspolarcyjna analiza danych

Fundamentals

More Info [here](_EDA/_eda.md)

# Data Visualization

Fundamentals

More Info [here](_data_visualization/_data_visualization.md)

# Data cleaning

Fundamentals

More Info [here](data_cleaning/data_cleaning.md)

# ETL

## Extract

I will start with the most simple connection to working on more complicated 

You can see progress [here](_Etl/_simple/_simple.md)

# Machine learning 

I will try to use a lots of topis from fundamentals to more complex 

- [fundamentals](_machine_learning/_fundamentals/1)

## Supervised learning:

- [regression](_machine_learning/_fundamentals/2)

- [classification](_machine_learning/_fundamentals/3)