Tip 1 : Focous on Basics(be strong with Math)
Tip 2 : Communication Skill
Tip 1 : Atleast 1 or 2 projects on Machine Learning
Tip 2 : Should be good in Python Programming
My interview was on sunday , it was over Microsoft TEAMS. Interview experience was very good she is try to understand my point of view to solving the problems.
Time Series forecasting based problem
They asked me about different statistical test of time timer series(adfuller test and kpss test)
Tip 1 : One way to test whether a time series is stationary is to perform an augmented Dickey-Fuller test
What is difference between Random forest and XGboost
Assumptions of Linear regression
Difference between R squad and adjusted R squad
Difference between list and tuple
how to set enviroment in Python
input and output gate in LSTM
Why LSTM required
Different types of encoder
Difference between Correlation and co-variance
time series based test adfullar test
step 1. explain importance of this test(after getting the data we have to check is this data is suitable for time series or not.
step 2. Mathematical logic behind this
step 3. use statsmodel to calculate this test.

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
How do you remove whitespace from the start of a string?