Python World
36 subscribers
266 photos
11 videos
19 files
61 links
آموزش برنامه نویسی پایتون برای همه
Download Telegram
Top 10 python Libraries for Data Science
Shutdown PC using Python:

import os
os.system("shutdown /s / 1")
Data Science #Interview Preparation:

30 days of Data Science InterviewPreparation - All in one
Data Science Interview Preparation Day 1.pdf
950.2 KB
Data Science #Interview Preparation:

Day 1 Questions:

Q1. What is the difference between AI, Data Science, ML, and DL?
Q2. What is the difference between Supervised learning, Unsupervised learning and Reinforcement learning?
Q3. Describe the general architecture of Machine learning.
Q4. What is Linear Regression?
Q5. OLS Stats Model (Ordinary Least Square)
Q6. What is L1 Regularization (L1 = lasso) ?
Q7. L2 Regularization(L2 = Ridge Regression)
Q8. What is R square(where to use and where not)?
Q9. What is Mean Square Error?
Q10. Why Support Vector Regression? Difference between SVR and a simple regression model?

Python World
Fibonacci Numbers via Matrix Multiplication#
This media is not supported in your browser
VIEW IN TELEGRAM
The formula explains why the ratio of consecutive Fibonacci numbers tends to the golden ratio.
Data Scientist Salary
#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