This video focuses on Basics of Python for Data Science. Descriptive Statistics including Measures of Central Tendency, Dispersion, Asymmetry and Relationship. Hypothesis Test covered are 2 Sample Independent Ttest, Anova Single Factor, Chi Square Test of Independence. The video also covers Label Encoding, splitting the data frames. Regression models like Multiple Linear Regression, Decision Tree and Random Forest
Wednesday, October 17, 2018
Python for Data Science - Basics, Descriptive Statistics, Hypothesis Tes...
This video focuses on Basics of Python for Data Science. Descriptive Statistics including Measures of Central Tendency, Dispersion, Asymmetry and Relationship. Hypothesis Test covered are 2 Sample Independent Ttest, Anova Single Factor, Chi Square Test of Independence. The video also covers Label Encoding, splitting the data frames. Regression models like Multiple Linear Regression, Decision Tree and Random Forest
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