Podcast
Crack Data Science
Hosted by Eva Xue · EN
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!!!
10episodes
Episodes
Newest firstAll episodes
[Book Summary Hands on Machine Learning] Chapter 7-8 Stacking & Dimensionality Reduction
Jun 11, 202300:49:28Tap to summarizeTopic - 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 Science Medium Group Page - Crack Data Science Connect with Eva Xue to join Linkedin Private Study Group
Transcribe →[Book Summary Hands on Machine Learning] Chapter 2a -End-to-End Machine Learning Project
Oct 24, 202200:39:01Tap to summarizeRecorded 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 Science Medium Group Page - Crack Data Science Connect with Eva Xue to join Linkedin Private Study Group
Transcribe →[Book Summary Hands on Machine Learning] Chapter 1 -The Machine Learning Landscape
Oct 23, 202200:50:53Tap to summarizeRecorded 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 Medium Group Page - Crack Data Science Connect with Eva Xue to join Linkedin Private Study Group
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DS Book Summary - Business Data Science Introduction and Uncertainty
Mar 30, 202200:46:34Tap to summarizeRecorded 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
Transcribe →BQ- why this company? by Yifu
Mar 21, 202200:38:27Tap to summarizeRecorded 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
Transcribe →Crack Facebook Applied Data Question led by Tracy
Nov 1, 202100:28:26Tap to summarizeRecorded 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'
Transcribe →Facebook 3 Types Product Sense Interview Question & Framework led by Yifu
Oct 25, 202100:49:46Tap to summarizeRecorded 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'
Transcribe →Estimation Question Tips & Tricks - Mock interview Led by Na
Oct 22, 202100:44:16Tap to summarizeRecorded 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'
Transcribe →Facebook Product Analyst Mock Interview
Oct 4, 202100:48:22Tap to summarizeRecorded 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'
Transcribe →Interview Q - Bagging & Boosting
Oct 1, 202100:41:37Tap to summarizeRecorded 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'
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