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PODCAST · business

Crack Data Science

by Eva Xue

Crack Data Science CH Mission - Empower each other to achieve continued success.🤩Every Sunday Night 45mins 7:30 EST😊Follow ‘Crack Data Science’ @Clubhouse 💪Strengthen your skills🤩Meet newbies and veterans in the field.🤛Lets Crack Data Science Interview!!!

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Episodes

  1. [Book Summary Hands on Machine Learning] Chapter 7-8 Stacking & Dimensionality Reduction

    Topic - Book Summary Hands on Machine Learning with Scikit Learn and TensorFlow Chapter 7-8 Stacking & Dimensionality Reduction Recorded for'Crack Data Science' Clubhouse 11.20.2022 Summary by Joseph Join live discussion Every Sunday 7:30PM EST @ Crack Data Science Follow Clubhouse - Crack Data...

  2. [Book Summary Hands on Machine Learning] Chapter 2a -End-to-End Machine Learning Project

    Recorded for'Crack Data Science' Clubhouse 7.10.2022 Topic - Book Summary Hands on Machine Learning with Scikit Learn and TensorFlow Chapter 2a -End-to-End Machine Learning Project Summary by Joseph Join live discussion Every Sunday 7:30PM EST @ Crack Data Science Follow Clubhouse - Crack Data...

  3. [Book Summary Hands on Machine Learning] Chapter 1 -The Machine Learning Landscape

    Recorded for'Crack Data Science' Clubhouse 7.10.2022 Topic - Book Summary Hands on Machine Learning with Scikit Learn and TensorFlow Chapter 1 -The Machine Learning Landscape Summary by Joseph Join live discussion Every Sunday 7:30PM EST @ Crack Data Science Follow Clubhouse - Crack Data Science...

  4. DS Book Summary - Business Data Science Introduction and Uncertainty

    Recorded for'Crack Data Science' Clubhouse 3.27.2022 Topic - Book Summary Business Data Science by Matt Taddy Chapter - Introduction & Uncertainty Follow Clubhouse - Crack Data Science Medium Group Page - Crack Data Science

  5. BQ- why this company? by Yifu

    Recorded for'Crack Data Science' Clubhouse 3.20.2022 Topic - Behavior Questions Q1 Why Walmart? Q2 Do you have question for me? Follow Clubhouse 'Crack Data Science' Medium https://medium.com/crack-data-science

  6. Crack Facebook Applied Data Question led by Tracy

    Recorded for'Crack Data Science' Clubhouse 10.31.2021 Topic - Crack Facebook Applied Data Question Q1 The restaurant you may like Q2 Fake news Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  7. Facebook 3 Types Product Sense Interview Question & Framework led by Yifu

    Recorded for'Crack Data Science' Clubhouse 10.24.2021 Topic - Facebook 3 Types Product Sense Interview Question & Framework Ref Book - Crack PM Interview Chapter 13 Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  8. Estimation Question Tips & Tricks - Mock interview Led by Na

    Recorded for'Crack Data Science' Clubhouse 10.17.2021 Topic - Crack Facebook Estimation Question Ref Book - Crack PM Interview Chapter 13 Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  9. Facebook Product Analyst Mock Interview

    Recorded for'Crack Data Science' Clubhouse 10.13.2021 Topic - Facebook Product Analyst Mock Interview Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  10. Interview Q - Bagging & Boosting

    Recorded for'Crack Data Science' Clubhouse 9.26.2021 Topic - Interview Q - Bagging & Boosting Led by John Chen Phd candidate from Clemson University Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  11. Crack HR Screening

    Recorded for'Crack Data Science' Clubhouse 9.19.2021 Topic - Crack HR Screening Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  12. Handling imbalanced data

    Recorded for'Crack Data Science' Clubhouse 9.12.2021 Topic -Handling imbalanced data led by Tracy Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  13. Deal With Missing Value By Tracy

    Recorded for'Crack Data Science' Clubhouse 8.29.2021 Topic -Deal with Missing Value By Tracy Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

  14. Clustering in Health Care Projects by Li Shen

    Topic -Clustering in real projects by Guest Speaker - Li Shen from USE specialized in health care

  15. Storytelling W Slides By Yifu Liu

    Recorded for'Crack Data Science' Clubhouse 8.1.2021 Topic -Storytelling W Slides Guest Speaker - Yifu Liu

  16. Interview Tips -What does the company expect you to know?

    Recorded for'Crack Data Science' Clubhouse 6.13.2021 Topic -What does the company expect you to know & Tips on BH questions (For privacy purpose, only Host's voice is retained in this record. ) Follow Clubhouse 'Crack Data Science' Facebook page @crackdatascience7 Facebook group 'Crack Data Science'

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ABOUT THIS SHOW

Crack Data Science CH Mission - Empower each other to achieve continued success.🤩Every Sunday Night 45mins 7:30 EST😊Follow ‘Crack Data Science’ @Clubhouse 💪Strengthen your skills🤩Meet newbies and veterans in the field.🤛Lets Crack Data Science Interview!!!

HOSTED BY

Eva Xue

CATEGORIES

business careers

Frequently Asked Questions

How many episodes does Crack Data Science have?

Crack Data Science currently has 16 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Crack Data Science about?

Crack Data Science CH Mission - Empower each other to achieve continued success.🤩Every Sunday Night 45mins 7:30 EST😊Follow ‘Crack Data Science’ @Clubhouse 💪Strengthen your skills🤩Meet newbies and veterans in the field.🤛Lets Crack Data Science Interview!!!

How often does Crack Data Science release new episodes?

Crack Data Science has 16 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to Crack Data Science?

You can listen to Crack Data Science on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Crack Data Science?

Crack Data Science is created and hosted by Eva Xue.
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