We are going to critique on Linear regression notebook of the week-8 module. I have discussed issues and ways to mitigate their impact on the model:

This notebook describes linear regression models and it's coefficients.

I built a logistic regression model on the binary column (Gender).

This R notebook evaluates the relationship between the response variable and the categorical column data as well as the continuous column data.

Hypothesis Testing.

visualizing the responsive and exploratory variables. Determining how much exploratory variables affect the responsive variables.

I have explained the following question in this R notebook.

This is my rpub file for the week-5 module. It explains the following questions in the assignment.

I have completed the scrutinizing of 5 sub-samples from my data. I gave an explanation for each observation at the end of the code.

I have applied group-by data frame on categorical variables and also obtained possible combinations on categorical variables of my dataset.

I have group one categorical column and calculated the summary of numerical variable related to that column

I have completed most of the questions yet I am looking for specific improvements in code and visualizations.

I have analyzed the data and visually represented it in box plots and line plots