100 DATA SCIENCE QUESTIONS & ANSWERS FOR ABSOLUTE BEGINNERS(FOR INTERVIEWS)
#datascience #machinelearning #datascienceinterview #dataanalytics #dataengineering #interview
Here is a collection of 100 Data Science interview questions and answers which covers topics like Regression, Classification, Forecasting, Time Series, SAS, Variable selection, Factor analysis, PCA, model implementation and model validation.
Join this channel to get access to perks:
https://www.youtube.com/channel/UC2XO4HDxzfMOZIV1l795g1Q/join
#finance #machinelearning #datascience
For courses on Credit risk modelling, Market Risk Analytics, Marketing Analytics, Supply chain Analytics and Data Science/ML projects contact analyticsuniversity@gmail.com
For Study Packs : http://analyticuniversity.com/
Complete Data Science Course : http://bit.ly/34Sucmb
Access All Coursera Plus courses @ $400 : https://bit.ly/2ZL51Dd
Discounted courses on Udemy (for $11): http://bit.ly/2LYU6hp
Free access to Skillshare: http://bit.ly/2thklJu
Coursera :
Data Science : http://bit.ly/37nABr6
Data Science Python : http://bit.ly/2ZK5oMm
Recommended Data Science Books on Amazon :
Python for Data Science: https://geni.us/PythonDataScience
R for Data Science : https://geni.us/DataScienceR
Machine Learning using Tensorflow: https://geni.us/MLinTensorflow
Data Science from Scratch: https://geni.us/DataSciencefromScratch
Python programming: https://geni.us/LearnPython
Artificial Inteligence: https://geni.us/LearnAI
Data Vizualization : https://geni.us/DataViz
Видео 100 DATA SCIENCE QUESTIONS & ANSWERS FOR ABSOLUTE BEGINNERS(FOR INTERVIEWS) канала Analytics University
Here is a collection of 100 Data Science interview questions and answers which covers topics like Regression, Classification, Forecasting, Time Series, SAS, Variable selection, Factor analysis, PCA, model implementation and model validation.
Join this channel to get access to perks:
https://www.youtube.com/channel/UC2XO4HDxzfMOZIV1l795g1Q/join
#finance #machinelearning #datascience
For courses on Credit risk modelling, Market Risk Analytics, Marketing Analytics, Supply chain Analytics and Data Science/ML projects contact analyticsuniversity@gmail.com
For Study Packs : http://analyticuniversity.com/
Complete Data Science Course : http://bit.ly/34Sucmb
Access All Coursera Plus courses @ $400 : https://bit.ly/2ZL51Dd
Discounted courses on Udemy (for $11): http://bit.ly/2LYU6hp
Free access to Skillshare: http://bit.ly/2thklJu
Coursera :
Data Science : http://bit.ly/37nABr6
Data Science Python : http://bit.ly/2ZK5oMm
Recommended Data Science Books on Amazon :
Python for Data Science: https://geni.us/PythonDataScience
R for Data Science : https://geni.us/DataScienceR
Machine Learning using Tensorflow: https://geni.us/MLinTensorflow
Data Science from Scratch: https://geni.us/DataSciencefromScratch
Python programming: https://geni.us/LearnPython
Artificial Inteligence: https://geni.us/LearnAI
Data Vizualization : https://geni.us/DataViz
Видео 100 DATA SCIENCE QUESTIONS & ANSWERS FOR ABSOLUTE BEGINNERS(FOR INTERVIEWS) канала Analytics University
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![JP MORGAN'S PAPER ON USE OF ML/AI IN INVESTMENT/TRADING](https://i.ytimg.com/vi/bgWopJ9h3ww/default.jpg)
![FREE COURSE ON GENERATIVE AI BY GOOGLE](https://i.ytimg.com/vi/zbJYc-zCOQU/default.jpg)
![DATA SCIENCE - THE SEXIEST DATA CAREER (AT LEAST FOR MATH LOVERS)](https://i.ytimg.com/vi/vJnhzwR8D0I/default.jpg)
![MONTY HALL PROBLEM (PROBABILITY PUZZLE)](https://i.ytimg.com/vi/zHWR8Xkl8O8/default.jpg)
![UNDERSTANDING RIEMANN HYPOTHESIS | RIEMANN ZETA FUNCTION](https://i.ytimg.com/vi/OQq8_YtEQPc/default.jpg)
![VOLATILITY MODELLING IN FINANCE (AN INTRODUCTION)](https://i.ytimg.com/vi/dnxu_82Sp1M/default.jpg)
![CHALLENGES WITH TIME SERIES MODELLING](https://i.ytimg.com/vi/GCTrpCJK5WM/default.jpg)
![SEGMENTED REGRESSION MODELS TO HANDLE NON-LINEARITY](https://i.ytimg.com/vi/EIVZ1iFYn3M/default.jpg)
![COINTEGRATION (TIME SERIES) AND ITS USES IN QUANT TRADING](https://i.ytimg.com/vi/d6filcDkhRg/default.jpg)
![COMPARING LSTM AND ARIMA FOR FORECASTING (WHEN TO USE WHAT?)](https://i.ytimg.com/vi/zmedQfBQwuQ/default.jpg)
![TIME SERIES MODELLING IN FINANCE (IN TRADING, RISK MANAGEMENT, PORTFOLIO OPTIMIZATION)](https://i.ytimg.com/vi/JtXZjlzDWZM/default.jpg)
![DATA SOURCES FOR QUANTITATIVE FINANCE (PUBLIC AND PRIVATE DATA)](https://i.ytimg.com/vi/iPOYdyLnCKs/default.jpg)
![WHAT IS ACCIDENTAL SAMPLING OR CONVENIENCE SAMPLING IN STATISTICS?](https://i.ytimg.com/vi/mVPpqdXz2MM/default.jpg)
![WHAT IS ECONOPHYSICS (AND HOW IS IT DIFFERENT FROM QUANTITATIVE FINANCE)?](https://i.ytimg.com/vi/kZcfOFqvYrw/default.jpg)
![MACHINE LEARNING VS STATISTICS/ECONOMETRICS](https://i.ytimg.com/vi/Rl2pMjCaJYo/default.jpg)
![ML MODELS USED IN TRADING (BY REAL QUANT TRADERS)](https://i.ytimg.com/vi/fwpowxFWVtQ/default.jpg)
![4 CASES IN FINANCIAL CRIME ANALYTICS](https://i.ytimg.com/vi/WOIkIwKVI_8/default.jpg)
![CHATGPT ANSWERS CODING INTERVIEW QUESTIONS](https://i.ytimg.com/vi/wIz1Il5SWUg/default.jpg)
![LOGISTIC REGRESSION USING CHATGPT](https://i.ytimg.com/vi/0Ty_BU475Eo/default.jpg)
![LEARNING PYTHON USING CHATGPT (FUTURE OF INTERNET SEARCH)](https://i.ytimg.com/vi/mOKX9rxxKEM/default.jpg)