Data Scientist

I split the text using text.split() and post that I apply the logic to remove suffixes like ed, ing, ly .
Finally i joined the string using + opearator.

Solution: 
def stemmer(text):
s=""
for i in text.split():
if i.endswith('ed'):
i=i[:(len(i)-len('ed'))]
elif i.endswith('ly'):
print("*****ly")
i=i[:(len(i)-len('ly'))]
elif i.endswith('ing'):
print("&&&&&&ingg")
i=i[:(len(i)-len('ing'))]
elif len(i)>8:
i=i[:8]
print("hello")
print(i)
s="".join(i)
print(s)
return s

text= "a boy is jumping quickly"
op=stemmer(text)
print(op)

I applied split function and then I used slicing to reverse the substrings.
Solution: 
I/P: string = "This is Nishant"
Expected O/P: "Nishant is This"

# reversing words in a given string
s = string.split()[::-1]
l = []
for i in s:
# apending reversed words to l
l.append(i)
# printing reverse words
print(" ".join(l))

Tip 1:If we light a stick, it takes 60 minutes to burn completely. What if we light the stick from both sides? It will take exactly half the original time, i.e. 30 minutes to burn completely.
Tip 2:0 minutes – Light stick 1 on both sides and stick 2 on one side.
Tip 3:30 minutes – Stick 1 will be burnt out. Light the other end of stick 2.
Tip 4:45 minutes – Stick 2 will be burnt out. Thus 45 minutes is completely measured.

I first perform EDA and draw some insights about the data given.
Then I build multilinear regression model that was giving accuracy 82%. I checked R2 and RMSE Matrices and post that i changed the parameters again to perform hyperparameter tuning.