Publications by Aashish Gaire
Project 3
df <-read.csv("imdb.csv") Added some new libraries. And now to convert the data for association analysis. When i try transaction(df) , i get a lot of error so to make a knit document i have to remove it, I tried other way which looks good, Here, Let’s look at the columns and see if we can convert them into factors (or Boolean) for analysis. col...
1010 sym R (6644 sym/34 pcs) 6 img
Publish Document
This is my first project in data mining class. In this project i have taken IMDb top 250 best movies of 2020. This datasheet is taken from kaggle. In this data set I have categorical and quantitative data. Rating and Genre are categorical whereas Score and Gross Income are quantitative. df_tree <- data.frame(df$Genre,df$Rating,df$Score) #Summary ...
2262 sym R (9320 sym/51 pcs) 11 img
Publish Document
This is my first project in data mining class. In this project i have taken IMDb top 250 best movies of 2020. This datasheet is taken from kaggle. In this data set I have categorical and quantitative data. Rating and Genre are categorical whereas Score and Gross Income are quantitative. df_tree <- data.frame(df$Genre,df$Rating,df$Score) #Summary ...
2262 sym R (9320 sym/51 pcs) 11 img
Publish Document
This is my first project in data mining class. In this project i have taken IMDb top 250 best movies of 2020. This datasheet is taken from kaggle. In this data set I have categorical and quantitative data. Rating and Genre are categorical whereas Score and Gross Income are quantitative. df_tree <- data.frame(df$Genre,df$Rating,df$Score) #Summary ...
2527 sym R (7707 sym/49 pcs) 11 img
Data Mining
This is my first project in data mining class. In this project i have taken IMDb top 250 best movies of 2020. This datasheet is taken from kaggle. In this data set I have categorical and quantitative data. Rating and Genre are categorical whereas Score and Gross Income are quantitative. df_tree <- data.frame(df$Genre,df$Rating,df$Score) #Summary ...
2528 sym R (7707 sym/49 pcs) 11 img
Regression
df <-read.csv("imdb.csv") Simple Linear Regression tail(df) ## Ranking Title Genre Rating Score Gross ## 245 245 Drishyam Crime 8.2 74.66667 0.74 ## 246 246 The Help Drama 8.0 62.00000 169.71 ## 247 247 The Princess Bride Adventure 8.1 77.00000 30.86 ## ...
1520 sym R (102228 sym/36 pcs) 9 img