The Deep Learning exercises provided in DataCamp
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Updated
May 12, 2018 - Python
The Deep Learning exercises provided in DataCamp
My DataCamp Machine Learning Case Studies and Projects
Course exploratory data analysis - DataCamp
Includes jupyter notebook files about intro to python for data science course provided by datacamp.
It's commonly said that data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time actually analyzing it. For this reason, it is critical to become familiar with the data cleaning process and all of the tools available to you along the way. This course provides a very basic introduction to cleaning data in …
Running exciting analyses on interesting datasets is the dream of every data scientist. But first, some importing and cleaning must be done. In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.
python time series courses and demos
Repository of DataCamp's "Introduction to R" course.
Repository of DataCamp's "Intermediate R" course.
Repository of DataCamp's "Introduction to the Tidyverse" course.
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
A simple class to download the source code of your completed DataCamp courses.
DataCamp's Python Data Science Toolbox (Part 2) course.
Various scripts to keep track of my progression through R.
This is about learning data scientist with R 2019 courses in DataCamp. All the answers given written by myself Data Scientist with R track
Working through some data camp courses.
A DataCamp Data Science module for the Social Statistics MOOC at the University of Helsinki, Finland.
Python Data Science Notes with DataCamp
Data Camp courses include datasets and preload codes for courses exercises
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