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Learn Data Science

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Artificial Intelligence
Machine Learning
Data Science
Deep learning
Computer vision
NLP
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Check this out to make Data Science portfolio or resume
Hello everyone, you can invite your friends who is interested in learning data science, machine learning, deep learning or computer vision

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DataSpoof pinned «Hello everyone, you can invite your friends who is interested in learning data science, machine learning, deep learning or computer vision t.me/dataspoof»
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You can use wix platform to design your data science portfolio
Top 8 skills required to become Data Analyst

1- Excel
2- SQL
3- PowerBI or Tableau
4- Communication and Presentation skills
5- Domain knowledge
6- Programmming language like python or R
7- Basic maths and Statistics knowledge
8- Problem solving
Interview Question

Define F-test. Where would you use it?

An F-test is any statistical hypothesis test where the test statistic follows an F-
distribution under the null hypothesis. If you have 2 models that have been fitted to
a dataset, you can use F-test to identify the model which best fits the sample
population.
Interview Question

Define Sampling. Why do we need it?

Sampling is a process of choosing a subset from a target population which would
serve as its representative. We use the data from the sample to understand the
pattern in the population as a whole. Sampling is necessary because often we can
not gather or process the complete data within a reasonable time. There are many
ways to perform sampling. Some of the most commonly used techniques are
Random Sampling, Stratified Sampling, and Clustering Sampling.
Interview Question

Define Confidence interval.

A confidence interval is an interval estimate which is likely to include an
unknown population parameter, the estimated range being calculated from the
given sample dataset. It simply means the range of values for which you are
completely sure that the true value of your variable would lie in.
DataSpoof pinned «Interview Question Define F-test. Where would you use it? An F-test is any statistical hypothesis test where the test statistic follows an F- distribution under the null hypothesis. If you have 2 models that have been fitted to a dataset, you can use…»
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