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This repository is a collection of practical Python coding problems for Data Science, Machine Learning, and AI interview preparation.
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1.4k
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Added the calculation confidence intervals for a given sample manually solution code
45a5b95View on GitHubAdded the calculation confidence intervals for a given sample manually solution code
5f17951View on GitHubAdded the calculation confidence intervals for a given sample manually solution code
a5b99fdView on GitHubAdded the calculation confidence intervals for a given sample manually solution code
a014199View on GitHubAdded the calculation confidence intervals for a given sample manually solution code
180aa4cView on GitHubAdded the calculation confidence intervals for a given sample manually solution code
6323416View on GitHubAdded the calculation confidence intervals for a given sample manually solution code
fa49441View on GitHubAdded the generation of synthetic data following a normal distribution solution code
818af1aView on GitHubAdded the generation of synthetic data following a normal distribution solution code
8f8bfd9View on GitHubAdded the generation of synthetic data following a normal distribution solution code
c02e310View on GitHubAdded the generation of synthetic data following a normal distribution solution code
5a6bf27View on GitHubAdded the chi-squared test manually and validate against scipy result solution code
f0f981bView on GitHubAdded the chi-squared test manually and validate against scipy result solution code
003d7baView on GitHubAdded the chi-squared test manually and validate against scipy result solution code
1e35b29View on GitHubAdded the chi-squared test manually and validate against scipy result solution code
3487687View on GitHub