Shruti Taware

Data Scientist | Machine Learning #66daysofdata #bookamonthchallenge

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[Shruti Taware @TawareShrutee]

@StrataScratch Absolutely love the platform! Can we please get the dark mode for coding?

[Shruti Taware @TawareShrutee]

#66daysofdata
Day 12: Starting with Python Leetcode coding

Problem solved: Longest Palindromic Substring

[. @StrataScratch]

Let this overview of the thirteen most prevalent #datascience roles help you get a career in the field.

[Shruti Taware @TawareShrutee]

#66daysofdata
Day 11

What a beautiful day for a hike! ✨ Worth the view on the central coast of California. Bishop’s Peak ⛰

[⚡Shalini @shalu01m]

What on earth are NFTs?😱

Explaining what NFTs are to a 5 year old👇

[Shruti Taware @TawareShrutee]

#66daysofdata by @KenJee_DS
Day 10
SQL Interview Question from @StrataScratch
Level: Hard by Meta/ FB

Key Takeaway: Always follow the UFC approach while solving any SQL problems.
U - Understand the data
F - Formulate the approach
C - Code Execution

https://t.co/RYNi7eVt6u

[Shruti Taware @TawareShrutee]

#66daysofdata by @KenJee_DS
Day 9
Another SQL Interview question from @StrataScratch
Level: Medium by Meta/ Facebook

https://t.co/MNJecqcreA

[Sahil Bloom @SahilBloom]

The Feynman Technique—how to learn anything:

[Shruti Taware @TawareShrutee]

#66daysofdata

Day 8
Solved SQL Interview Question from Stratascratch on Monthly Churn Rate.

[Shruti Taware @TawareShrutee]

#66daysofdata

Day 7

Model Complexity and Overfitting/ Underfitting

[Shruti Taware @TawareShrutee]

#66daysofdata
Day 6

Bias and Variance Trade-off

https://t.co/uotU1D2sQ4

[Shruti Taware @TawareShrutee]

#66daysofdata

Day 5

Went through one of the Python Data Science interview question asked by Uber from Stratascratch.

https://t.co/inulbgbpZk

[Shruti Taware @TawareShrutee]

#66daysofdata

Day 4 Statistics

Went through hypothesis testing problem video by Emma Ding. I will be visiting the concepts in the videos again.

Today was busy but make sure you show up!

https://t.co/O7B14nhKbB

[Shruti Taware @TawareShrutee]

#66daysofdata
Day 3 Statistics

- Power of test
- Type I Error
- Type II Error
- Confidence Interval vs Prediction Interval

[Shruti Taware @TawareShrutee]

@nelotsak Thanks for the question. It definitely help me do more research on the topic. I hope this helps.

[Shruti Taware @TawareShrutee]

#66daysofdata

Day 2 Statistics

- Hypothesis Testing
- Null hypothesis
- p-value

https://t.co/nRcS4obagI

[Shruti Taware @TawareShrutee]

@nelotsak In short I would say prediction interval is a type of confidence interval. The only difference is PI predicts future values to fall in a range while CI is the likely range of values to cover the actual value. The true value may or may not fall in the range.

[Shruti Taware @TawareShrutee]

@nelotsak Confidence Interval tells how likely a range of numbers would contain true value. While prediction interval is the estimate of an interval in which future observations will fall, given the observations were already observed.

[Shruti Taware @TawareShrutee]

Also, I came across a really great resource from Penn State. It’s STAT 500: Applied Statistics class. Here’s the link. Great reference.

https://t.co/ne89iRCD1a