Skip to content

This repo shows how to review and derive information from datasets using Python. First, get an overview of data science and how it open source libraries like Python can be used for your data analysis need. Then, discover how to set up labs and data interpreters. Next, learn about how you can use pandas, NumPy, and SciPy for numerical processing,…

Notifications You must be signed in to change notification settings

desaiankitb/spark-mllib-medium

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ds-python-linkedin

This is the lab files for ds-python-linkedin

1-3. [Lab Environment](01_03/start/1-3-LearningNotebooks.ipynb)
2-1. [Learning Python](02_01/start/2-1-LearningPython.ipynb)
2-2. [Introducing Pandas](02_02/start/2-2-LearningNotebooks.ipynb)
2-3. [Exploring Pandas](02_03/start/2-3-Exploring_Pandas.ipynb)
2-4. [NumPy and SciPy](02_04/start/2-4-NumPy.ipynb)
3-1. [Scikit-learn Introduction](03_01/start/3-1-Scikit_Introduction.ipynb)
3-2. [Scikit-learn Clusterig](03_02/start/3-2-Sklearn_Clustering.ipynb)
3-3. [Scikit-learn Classification](03_03/start/3-3-Sklearn_Classification.ipynb)
4-1. [Introducing PySpark](04_01/start/4-1-Introducing_PySpark.ipynb)
4-2. [Introducing PySpark](04_02/start/4-2-Pyspark_mllib.ipynb)
4-3. [Introducing PySpark](04_03/4-3-Introducing_PySpark.ipynb)

About

This repo shows how to review and derive information from datasets using Python. First, get an overview of data science and how it open source libraries like Python can be used for your data analysis need. Then, discover how to set up labs and data interpreters. Next, learn about how you can use pandas, NumPy, and SciPy for numerical processing,…

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages