Managerial round interview questions

 Managerial round interview questions

1)Introduction

Gd mng sir, its my pleasure to introduce my self. My name is Thirumala. I have completed btech in R.L Jalapa inst of tech. After that i got slected for both TCS and LTI. I have choosen LTI bcz i was much passonate to learn the technolgy which industry demand now a days. and i have worked as a data science intern for 3.5 months , in internship i have worked on different projects like

1) Determining Status for Loan Applicants with banking domain.

2)Movie Recommendation and Analysis with enterntment domain

3)Optimizing-Agricultural-Production with agriculture domain

4)Predicting Medical Health Expenses with helath care domain

5)Startups Case Study and Analysis with finance domain.

while comming to me i am down to earth, sweet smart and creative, and i am a cool heated person so usually see every dificulties with positive attitude and keep muself always smiling which makes me stronger evenmore.Thanks you for giving me the oppturinty to introduce myself.

2)TASK

difference between list and numpy array-->lst any type of inputs, numpy--> store a single type of object

palindrome--->lst="madam", lst_rev=lst[::-1]

tabels-->for i in range(1,11):

                      lst.append((n*i))

            df=pd.DataFrame(lst)

             df.to_csv("tabels.csv")

task1-->web scrping refred Dmitriy Zub

task2

how to write a empty class--->pass

accuracy ,precision, recall

types of loss function

different datatypes in python

Text Type:	str
Numeric Types:	int, float, complex
Sequence Types:	list, tuple, range
Mapping Type:	dict
Set Types:	set, frozenset
Boolean Type:	bool
Binary Types:	bytes, bytearray, memoryview
None Type:	NoneType

You can get the data type of any object by using the type() function

why dropout as 30%--->to prevent over fitting and 0.3 is batch_size

types of optimizers

            1)Gradient Descent

              2)SGD(Stochastic Gradient Descent)

              3)Mini Batch SGD

              4)Mini Batch SGD with momentum

              5)Adagrad

              6)RMSPROP

              7)Adam Optimizer(Mostly used optimizer)

why adam optimizer===>it does have zig zag momentum and learning rate is adaptive

difference between bais and variance.

bias is the error with respect to traning dataset, variance is the error with respect to testing datasets

Types of oops in python

1)encapsulation

pulic-->any part

protedcted-->with in the class and sub class(use" _")

private-->only with in the class.(use "__")

2)inheritance

3)polumorphisam

method overloading

method overriding

-->exception handling