Q01. How is Big Data used in industries?
A01. The main goal for most organisations is to enhance customer experience, and consequently increase sales. The other goals include cost reduction, better targeted marketing, fraud detection, identifying data breaches to enhance security, making existing processes more efficient,
…
Q1. Why are data cleansing & pre-processing important in analytics & machine learning?
A1. Garbage in gets you garbage out. No matter how good your machine learning algorithm is.
Q2. What are the general steps of cleansing data
A2.
…
Q01. What is a gradient? A01. In algebra we can represent a straight line with: y = mx + c A parabola is represented as: y = m1x2 + m2x + c, and so on. … Read more ›...
Q01. What do you understand by the terms mean, variance, and standard deviation of the sample Vs. the population? A01. Given that the following are the number of job applications sent by 6 individuals: Where X is the Sample. … Read more ›...
Q1. How do you produce & interpret Linear Regression output? A1. Scatter plots can only detect obvious relationships between variables by looking at the graph, but we can use statistics to comment about the variable relationships as outlined below. The link 11A: Databricks – Spark ML – Pandas Dataframe &...
In addition to the Data Analysts, the Data Engineers & Data Scientists must have the below know-hows.