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#Book
Open Data Structures: An Introduction
Pat Morin
Open Data Structures.pdf
1.7 MB
#Book
Open Data Structures: An Introduction
Pat Morin
Data Science Interview Preparation Day 3.pdf
762.8 KB
Data Science #Interview Preparation Day 3

Day 3 Questions:
Q1. How do you treat heteroscedasticity in regression?
Q2. What is multicollinearity, and how do you treat it?
Q3. What is market basket analysis? How would you do it in Python?
Q4. What is Association Analysis? Where is it used?
Q5. What is KNN Classifier ?
Q6. What is Pipeline in sklearn ?
Q7. What is Principal Component Analysis(PCA), and why we do?
Q8. What is t-SNE?
Q9. VIF(Variation Inflation Factor), Weight of Evidence & Information Value. Why and when to use?
Q10: How to evaluate that data does not have any outliers ?
Q11: What you do if there are outliers?
Q12: What are the encoding techniques you have applied with Examples ?
Q13: Tradeoff between bias and variances, the relationship between them.
Q14: What is the difference between Type 1 and Type 2 error and severity of the error?
Q15: What is binomial distribution and polynomial distribution?
Q16: What is the Mean Median Mode standard deviation for the sample and population?
. . .
Learn and Practice Coding #Interviews Questions of Best Tech Companies
Learn Tech Skills from Scratch!

www.interviewbit.com
Thanks to Microsoft, We Can Watch Superman for Thousands of Years:

Microsoft's new write-once storage medium is constructed from quartz glass, stores data using lasers, and uses machine learning algorithms for decoding.

https://www.pcmag.com/news/thanks-to-microsoft-we-can-watch-superman-for-thousands-of-years?utm_campaign=trueAnthem%3A%20Manual&utm_medium=trueAnthem&utm_source=facebook&fbclid=IwAR39wlB14m4D_d4QGKUA_WuBB4i7Uip72fEkDLEWXC1IZZSQwFXPNK-tNnQ
Data Science Process
A Fun Fact!
Christmas tree in Python.
Different b/w Machine Learning and Deep Learning 🤖🌿🌈