GitHub / yunusbagriacik / Data-Science-with-Python
This repo contains Python basics, importing and cleaning data, data manipulation with pandas, mathematical operations with numpy, visualisations with matplotlib and seaborn, statistical basics (Sampling and Hypothesis testing), exploratory data analysis, preprocessing, supervised and unsupervised learning with scikit-learn, and postreSQL.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yunusbagriacik%2FData-Science-with-Python
PURL: pkg:github/yunusbagriacik/Data-Science-with-Python
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 92.8 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago
Topics: data-science, machine-learning, sql, statistics, visualisations