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3 comments:

Anonymous said...

hey

Anonymous said...

If you have completed the syllabus on time and then question us it would be better I asked many of my seniors and juniors as well they never heard about changing the index that too after submission of the record to the teacher and has got preparation holidays if you are that particular about your things you would have informed us before itself and its your mistake we have submitted our records to you its your duty to do the sign on the index or certificate .Our books were kept aside all the holidays why should we even come back of you if once we have submitted our records, and if our records or observations are not good then cut our record and observation marks who are you to keep -15 -25 in our sem written paper. The joke is the record itself is for 10 marks but if it is not proper we get -25 in paper what the hell is this I never saw this kind of attitude from a teacher. You didn’t even teach us many programs but you expect us to write it how is it even possible, “Observation lo meru edhi aythe execute chesaru oo adhi eaa rayali, record lo observation lo same program undali” this are your words but again you want everything in record. Ok leave about the record you didn’t even teach us basics of bash script in the first lab you just told us to learn from the blog and you expect us to write the programs of bash script on our own this is the worst thing that can happen in a lab. Coming to the way of conducting exam its upto you whether you share the questions before or not but the number of questions in the exam ?? Did you ever teach us about the ping command either in the lab or class how would you expect students to write the answers. You even doesn’t treat us like students A teacher should be supportive to the students a student should feel comfortable to at least ask his/her doubts you almost treat us like use less creatures. Remember this not IIT and you are not the only intelligent creature on the earth this is just a tier-3 college so don’t expect students to behave like the top most students on the planet. Even your co-workers doesn’t like the way you are . Being in a tier 3 college we just need a good job as the certificate’s you provide are almost useless, Tell me one thing how many questions are asked about Operating System in Interviews hardly one or two then why should we even learn if the weightage is more for Data structures and algo there are many other things encourage students to contribute to the open source community force students on solving questions on platforms, why do you force students on these nonsense things. This education system is a big failure at the end we pay some money outside and prepare the skills needed for a job in 6 months.

Anonymous said...

install.packages("data.table")
library (data.table)
install.packages("plyr")
library (plyr)

path<-"C:/Users/MGIT/Desktop/3239"
setwd(path)
df<-read.csv("C:/Users/MGIT/Desktop/3239/Admission_predict.csv")
dff<-df
length(unique(df$serial.No)==nrow(df))
sum(is.na(df))
summary(df)
df $Serial.No=NULL

#Analaysing varaible 'Univeristy Rating'

summary(factor(df $University.Rating))
df $University.Rating <- as.factor(df $University.Rating)

#analysing variable SOP
summary(factor(df $SOP))
df $SOP <- as.factor(df $SOP)

#anayalising varaiable LOR
summary(factor(df $LOR))
df $LOR <- as.factor(df $LOR)

table(df $Chance.of.Admit>0.5)
df $get_admission = as.factor(ifelse(df $Chance.of.Admit > 0.72,1,0))

table(df $Chance.of.Admit > 0.72)

install.packages("MASS")
library(MASS)
install.packages("dplyr")
library(dplyr)

df_NumericVariable <- select_if(df,is.numeric)
df_NumericVariable

# University.Rating
length(levels(df$University.Rating))

dummy_University.Rating <- data.frame(model.matrix( ~University.Rating, data = df))
dummy_University.Rating <- dummy_University.Rating[,-1]
length(dummy_University.Rating)

df_1 <- cbind(select(df, -'University.Rating'), dummy_University.Rating)
ncol(df_1)

dummy_SOP <- data.frame(model.matrix( ~SOP, data = df))
dummy_SOP <- dummy_SOP[,-1]
length(dummy_SOP)

df_2 <- cbind(select(df_1, -'SOP'), dummy_SOP)
ncol(df_2)

dummy_LOR <- data.frame(model.matrix( ~LOR, data = df))
dummy_LOR <- dummy_LOR[,-1]
length(dummy_LOR)

df_3 <- cbind(select(df_2, -'LOR'), dummy_LOR)
ncol(df_3)

df_3$Chance.of.Admit = NULL
df_3

#Splitting the data set
set.seed(1000)
indx= sample(1:nrow(df_3), 0.7*nrow(df_3))
train = df_3[indx,]
test = df_3[-indx,]
model1 = glm(get_admission ~ ., data = train, family = "binomial")
summary(model1)

model1.0 <- glm( formula = get_admission ~ SOP1.5+SOP2+SOP3.5+SOP4.5+LOR2+LOR2.5+LOR4+LOR4.5+University.Rating2+University.Rating3+University.Rating5,family = "binomial", data = train)

summary(model1.0)

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