Coeffecient Determination

Coeffecient Determination • Explain the model,with best approach to one, poorer approach zero

Linear Regression, Gradient Descent, Cost Function

Linear Regression, Gradient Descent, Cost Function Machine Learning

Machine Learning • Machine learning can be useful to recommend movie at netflix

Non-parametric test

Non-parametric test • non-parametric test assume that both are not from the same population(probability distribution), but still want to test the similarity between them(null hypothesis). Or it want to test wheter two population come from the same population

t-test

t-test
• The most common use comparison test between two subset of data

Introduction and Statistic(Rigor)

Introduction and Statistic(Rigor)
This chapter is discussed about Machine Learning vs Statistics as data analysis to solve the prediction of the data, the correlation of the data, or making a good hypothesis Conclusion and Project for Data Wrangling

Conclusion and Project for Data Wrangling • The project assignment for lesson 2 will use all we know so far

How to handle missing data

How to handle missing data • Listwise Deletion: For computation that require birthdate and deathdate, lose the row that missing

Sanity Check for Missing Values

Sanity Check for Missing Values  • This one way to check our missing value, by using panda describe function 