Data Science for Interviews
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 646 MB
Duration: 1.5 hours | Genre: eLearning | Language: English
Prepare and rock your data science interview and step into the industry by covering all aspects of data science.

What you'll learn

You will be able to have a better grasp over data science concepts and you will be able to clear all your interviews and land the perfect 'Data Science' job.

Requirements

The student must possess an open mind and a willingness to learn.
General understanding of probability and statistics
Must have some basic knowledge of programming
Must be familiar with atleast R or Python

Description

This course is ideal for someone who is wishing to cover every aspect of machine learning theory before their interview or for someone who is looking for a refresher course. No cliches of sexiest job of 21st century, we discuss everything to the point and whatever is relevant for your preparation. There are several skills required for the same job but this course will focus mainly on

1. Probability and statistics

2. All machine learning algorithms which one should know

3. Data preprocessing

4. Important metrics to evaluate the performance

However, it is assumed that the student is proficient in any programming language. This course can cover major part of your theory preparation, so that you can focus more on your project and programming basics.

I will be updating the question bank on interview questions side-by-side. I will also be uploading the video transcripts for the videos.

Happy learning!

Who this course is for:

This course is open for all learners who want to be the part of data science industry.
This course is designed for those who want to prepare for their data science interviews.



Download link:
Kod:


rapidgator_net:
https://rapidgator.net/file/570fee206b7af42067f779fed5e5f889/q56ad.Data.Science.for.Interviews.part1.rar.html
https://rapidgator.net/file/f6737a4a0de16b5cfbda640f4a9afa9f/q56ad.Data.Science.for.Interviews.part2.rar.html

nitroflare_com:
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