-
<a href="https://www.mytectra.com/interview-question/human-resourse-hr-interview-questions/">Human Resource (HR) Interview Questions</a> <a href="https://www.mytectra.com/interview-question/selenium-interview-questions-and-answers/">Selenium Interview Questions and Answers</a> <a href="https://www.mytectra.com/interview-question/javascript-interview-questions/">Javascript Interview Questions</a>
1 comment

Data Science

-
Harvard Business Review named data scientist the "sexiest job of the 21st century".This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.With companies across industries striving to bring their research and analysis (R&A) departments up to speed, the demand for qualified data scientists is rising.


Getting Started With Data Science And Recommender Systems
Data Science Overview
Reasons to use Data Science
Project Lifecycle
Data Acquirement
Evaluation of Input Data
Transforming Data
Statistical and analytical methods to work with data
Machine Learning basics
Introduction to Recommender systems
Apache Mahout Overview

Reasons To Use, Project Lifecycle
What is Data Science?
What Kind of Problems can you solve?
Data Science Project Life Cycle
Data Science-Basic Principles
Data Acquisition
Data Collection
Understanding Data- Attributes in a Data, Different types of Variables
Build the Variable type Hierarchy
Two Dimensional Problem
Co-relation b/w the Variables- explain using Paint Tool
Outliers, Outlier Treatment
Boxplot, How to Draw a Boxplot

Acquiring Data
Discussion on Boxplot- also Explain
Example to understand variable Distributions
What is Percentile? – Example using Rstudio tool
How do we identify outliers?
How do we handle outliers?
Outlier Treatment: Using Capping/Flooring General Method
Distribution- What is Normal Distribution
Why Normal Distribution is so popular
Uniform Distribution
Skewed Distribution
Transformation

>> Read more >>

Comments

Post a Comment

Popular posts from this blog

-
<a href="https://www.mytectra.com/interview-question/human-resourse-hr-interview-questions/">Human Resource (HR) Interview Questions</a> <a href="https://www.mytectra.com/interview-question/selenium-interview-questions-and-answers/">Selenium Interview Questions and Answers</a> <a href="https://www.mytectra.com/interview-question/javascript-interview-questions/">Javascript Interview Questions</a>
Read more
-
Human Resources is also the organizational function that deals with the people and issues related to people such as compensation, hiring, performance management, and training. <a href="https://www.mytectra.com/interview-question/human-resourse-hr-interview-questions/">Human Resource (HR) Interview Questions</a>
Read more

Top 25 Python Interview Questions Prepared by Experts

-
Image
    1. What is JSON? How would convert JSON data into Python data? JSON – stands for JavaScript Object Notation. It is a popular data format for storing data in NoSQL  databases. Generally JSON is built on 2 structures.  A collection of <name, value> pairs.  An ordered list of values.  As Python supports JSON parsers, JSON-based data is actually represented as a dictionary in Python. You can convert json data into python using load() of json module. 2. How are the functions help() and dir() different? These are the two functions that are accessible from the Python Interpreter. These two functions are used for viewing a consolidated dump of built-in functions. help() – it will display the documentation string. It is used to see the help related to modules, keywords, attributes, etc. To view the help related to string datatype, just execute a statement help(str) – it will display the documentation for ‘str, module. ◦ Eg: ...
Read more