Python Test 001 - Questions realted to the topics covered in the Introduction Chapter.
Do you think you know about Python? Very simple questions, but twisted?
LIKE TO TEST YOUR SKILLS ? - - - Take the Challenge?
CLICK HERE
#python #learn #test #assessment #training
Do you think you know about Python? Very simple questions, but twisted?
LIKE TO TEST YOUR SKILLS ? - - - Take the Challenge?
CLICK HERE
#python #learn #test #assessment #training
Google Docs
Test-001 : Introduction
Questions asked will only be from the contents covered in the video given below.
Suggest you to watch the video, which will make it easy to take the test.
But you can still proceed to quiz. Good Luck!!!
Suggest you to watch the video, which will make it easy to take the test.
But you can still proceed to quiz. Good Luck!!!
CS109 Data Science- Harvard:
Predicting Hubway Stations Status by Lauren Alexander, Gabriel Goulet-Langlois, Joshua Wolff
Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.
We will be using Python for all programming assignments and projects. All lectures will be posted here and should be available 24 hours after meeting time.
#DataScience #Course #Training #Harvard
Predicting Hubway Stations Status by Lauren Alexander, Gabriel Goulet-Langlois, Joshua Wolff
Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.
We will be using Python for all programming assignments and projects. All lectures will be posted here and should be available 24 hours after meeting time.
#DataScience #Course #Training #Harvard
CS109 Data Science
Write an awesome description for your new site here. You can edit this line in _config.yml. It will appear in your document head meta (for Google search results) and in your feed.xml site description.