Gini Index for credit

Corrected Header for Gini Index Decision Tree

Decision Tree using Gain ratio

Decision Tree

Non working days comparison

scatterplot for working days wih color gradient

converted datetime using Posixct, then created a scatterplot pl2 <- ggplot(bike, aes(x=datetime,y =count))+geom_point(aes(color=temp),alpha=0.2) + scale_color_continuous(low='#55D8CE',high='#FF6E2E') + theme_bw() print(pl2)

another Corr showing correlations blue sowing positive correlations and red showing negative

First time using Corrplot library to show correlations and relationships between columns. # Num only, codes to find correlation btw columns num.cols <-sapply(df, is.numeric) #filter cor.data <- cor(df[,num.cols]) print(cor.data)

Data viz project using data from The Economist to create this scatter plot of relationships between CPI and HDO

Rating with movie years

Udemy class using boxplot with factor

wuth aes(fill=..count..)

1st plot of R class using movie rating in x-axis and count on the y-axis. The bins are set to 0.1

Got a dataset from Kaggle on personality, created a 3D graph representation on Friends, time alone and social events

we used net rating to see the win percentage

Radar plot of major stats for NBA MVP race

This is a plot using 2 independent variables of Acceleration-time and Horsepower trained and tested to learn and predict MPG

neural network plot trained with IV of Acceleration time to predict MPG

Project of training and testing datasets of Used cars and using Neural networks

I did a logistic regression on Titanic dataset. We decided to investigate if Gender has significant influence on Survival Rate. I used Dichotomous way and also Contrast coding to change Gender to Male & Female (1, -1). and dummy coding for (1,0) for Survived and Not Survived column