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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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Chi-Square Test #848

Closed ranamanish674zu closed 3 months ago

ranamanish674zu commented 4 months ago

The Chi-Square Test is a statistical method used to determine if there is a significant association between categorical variables. It compares the observed frequencies of categorical data with the frequencies that would be expected if the variables were independent. The test calculates a Chi-Square statistic, which measures the difference between observed and expected frequencies under the null hypothesis of independence. It is widely used in fields such as biology, social sciences, and market research to assess relationships between variables without assuming a specific distribution of the data. Used for categorical data to assess how likely it is that an observed distribution is due to chance.

  1. Chi-Square Goodness of Fit Test: Tests if a sample matches a population.
  2. Chi-Square Test for Independence: Tests if there is a significant association between two categorical variables.
ranamanish674zu commented 4 months ago

Can you assign it to me? @Niketkumardheeryan Full name: Manish Rana GitHub profile link: https://github.com/ranamanish674zu Email ID: manish.rana2021@vitbhopal.ac.inn Approach for this : python What is your participant role?: GSSoC-2024 contributor

Can you add the label for GSSoC, i want to work on it Thanks.