## Register Now

It will take less than 1 minute to register for lifetime. Bonus Tip - We don't send OTP to your email id Make Sure to use your own email id for free books and giveaways

## Guesstimate 2 – How many laptops are sold in Bangalore in a day?

What is the number of laptops sold in Bangalore on an average routine day? Laptop is a costly product. I am assuming that people buy laptop only when they needed. That's why i am going ...

## Guesstimate 1 – How many t-shirts are sold in India per day?

How many t-shirts e-commerce companies selling in India per day? We can approach this problem in two ways: Demand side Supply side I am going to solve using demand of t-shirts in the market Total population of india : ...

## Exponential Smoothing (ETS) Forecasting in layman terms

Exponential Smoothing is a technique to make forecasts by using a weighted mean of past values, wherein more recent values are given higher weights.  Now, let's try to unpack that statement and actually understand it.

## Web Analytics Basics and Terminologies – Part 1/4

Web Analytics is a complete world in itself. It makes life easier for the client as well as the developer. The Fortune 500 companies spent a hell lot of money to get a handful of insight. We will ...

## Deloitte Data Scientist Interview Questions

Company Name – Deloitte Location - Bangalore Position – Data Scientist Number of Rounds – 4  Round 1 – Technical Interview (R/Python) Round 2 ...

## Accenture Business Analyst Interview Question

Company Name - Accenture Location - Bangalore Position – Business Analyst Number of Rounds -  3 Round 1 – Technical Round(SQL and R) Round 2 – Guesstimate ...

## Supervised Learning Questions – Part 4/4

1.We will try to build a basic KNN model with 5 neighbors. Write the code for the same. from sklearn.neighbors import KNeighborsClassifier classifier = KNeighborsClassifier(n_neighbors=5) classifier.fit(X, y) y_pred = classifier.predict(X_test)2. Let’s create a confusion matrix to see how ...

## Supervised Learning Questions- Part 3/4

1. What is Logistic Regression? Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data ...

## Supervised Learning Questions – Part 2/4

1. Let’s create our dataset first. We will create Thyroid data set with attributes as Weight, Blood Sugar, and Sex(M=1,F=0) #Weight,Blood Sugar, and gender Male = 1, Female = 0 X = [[80, 150,0], [90, 200, 0], [95, ...

## Supervised Learning Questions – Part 1/4

1. What is Machine Learning ?a. Have you ever shopped online? while checking for a product, did you notice it recommends product similar to what you are looking for? or did you see "the person bought this product ...