Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
HabibMrad
/ readme.md
Created
July 20, 2020 14:18
— forked from aaizemberg/readme.md
Data Scientist with Python (DataCamp)
https://learn.datacamp.com/career-tracks/data-scientist-with-python
- Introduction to Python
- Intermediate Python
- PROJECT. TV, Halftime Shows, and the Big Game Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
- Data Manipulation with pandas
- PROJECT. The Android App Market on Google Play Load, clean, and visualize scraped Google Play Store data to understand the Android app market.
mGalarnyk
/ quiz1.md
Last active
June 5, 2020 19:26
The Data Scientist's Toolbox Quiz 1 (Week 1) John Hopkins Data Science Specialization Coursera for the github repo https://github.com/mGalarnyk/datasciencecoursera/tree/master/1_Data_Scientist_Toolbox
github repo for rest of specialization: Data Science Coursera
Which of the following are courses in the Data Science Specialization? Select all that apply:
- Business Analytics
- Python Programming
Y4suyuki
/ lecture11.md
Last active
March 14, 2022 08:11
Lecture note of Mathematical Biostatistics Boot Camp 1 by Brian Caffo, PhD at Coursera
https://www.coursera.org/course/biostats
Histogram display a sample estimate of the density or mass function by plotting a bar graph of the frequency or proportion of times that a variable takes specific values, or a range of values for continuous data, within a sample
- Histograms are useful and easy, apply to continuous, discrete and even unordered data
- They use a lot of ink and space to display very little information
- It's difficult to display several at the same time for comparisons Also, for this data it's probably preferable to consider log base 10, since the raw histogram simplay says that most islands are small