Welcome to the Data Science with Ankit Bansal podcast, your go-to resource for acing the crucial Data Science Knowledge.

Whether you're a fresher or an experienced professional, crafting a compelling introduction can set the tone for a successful interview.

In this episode, We delves into effective strategies for structuring your introduction, providing clear examples for both newcomers and seasoned experts. Learn how to weave your educational background and project experience into a captivating story, practice key points, and get ready to impress.

Join us for actionable tips, sample introductions, and advice on tailoring your pitch to fit the role you're applying for. Have questions or need more content? Reach out on ⁠LinkedIn⁠, ⁠Twitter⁠, ⁠Email⁠, or our ⁠Telegram⁠ group. Don’t forget to participate in our Spotify poll to guide future content!

Tune in, take notes, and prepare to shine in your next interview! 🌟

In this podcast we discussed 6 mistakes or myths or points to know before entering into the data science.

I hope you will like it.

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Mail Me at : ⁠ankitbansal1412@gmail.com⁠

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Data Science with Ankit Bansal In this podcast we will understand the concept of Maximum Likelihood Estimates in plain language, also at the end I will give you a sample answer that you can use during your interview.

Join us for a quick and easy guide to mastering the basics of data science. 🎙️📈

0:00 Intro

0:20 Maximum Likelihood Estimate with Example

1:47 Likelihood Function

2:50 Benefits and Caveats

3:20 Nail MLE in Interview

4:25 Example answer/Revision

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Mail Me at : ankitbansal1412@gmail.com

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"Dive into 'Data Science with Ankit Bansal,' where we explain the difference between probability and likelihood in plain language. Learn how to predict what might happen and make sense of real-world data. Join us for a quick and easy guide to mastering the basics of data science. 🎙️📈 0:00 Intro
0:55 Definition of Probability and Likelihood
2:05 Example 1 - Coin Problem
3:15 Example 2 - Chances of Rain

3:45 Pass the interview with this definition

4:10 Probability and Likelihood in Data Science

4:48 Revision

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Mail Me at : ankitbansal1412@gmail.com

In this podcast we discussed about Standardization and Normalization technique and understood why we as a data enthusiast must know about these feature scaling techniques

0:00 Intro
0:28 Why Standardization and Normalization
2:19 Standardization
3:20 Normalization
4:22 Conclusion

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Mail Me at : ankitbansal1412@gmail.com