Featured post

Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

Related Posts How to write multiple IF-conditions in Python Simplified
Post a Comment

IT Skills you need to get top jobs in e-commerce

Technology and digital marketing-related skills are in huge demand as e-commerce companies have got big-ticket investments.

IT Skills for e-comm jobs
IT Skills for e-comm jobs
Technologies in Demand

Domestic consumption of technology, especially in mobile telephony, is on the rise. The traditional IT services sector is likely to see a spurt in hiring as demand revives in Europe, along with expected economic turnaround at home.

Hot in Demand IT areas

According to Teamlease, this category will provide opportunities for a wide range of people:
  • beginning with IT infrastructure managers
  • mobile developers on IOS, Android, and Windows
  • languages like Python, Ruby on Rails, HTML, and CSS
  •  IT security
  • cloud computing professionals.
  • Experience developing applications using technologies such as Java, Node.js, HTML5, JavaScript, SpringBoot, Tomcat, and Selenium.

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

Hyperledger Fabric: 20 Real Interview Questions

Image
I am practicing Hyperledger. This is one of the top listed blockchains. This architecture follows R3 Corda specifications. Sharing the interview questions with you that I have prepared for my interview.

Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications.
The Hyperledger now backed by IBM. But, it is still an open source. These interview questions help you to read quickly. The below set of interview questions help you like a tutorial on Hyperledger fabric. Hyperledger Fabric Interview Questions1). What are Nodes?
In Hyperledger the communication entities are called Nodes.

2). What are the three different types of Nodes?
- Client Node
- Peer Node
- Order Node
The Client node initiates transactions. The peer node commits the transaction. The order node guarantees the delivery.

3). What is Channel?
A channel in Hyperledger is the subnet of the main blockchain. You c…
Read more

Python IF Statements Multiple Conditions Examples

Image
I shared how to write multiple if conditions (statements) in Python. These are the best examples useful for interviews and projects.
Many programmers confuse how to write IF conditions in Python. The below examples act as a handy guide for beginners and experienced.
Python IF Statements the Best Examples
IF, IFIF 'ELSE'IF 'or'IF 'and'Nested IFIF 'continue'IF 'break'
In Python,  the decision making logic you can write with IF condition. You can write multiple IF conditions (Single way decision). At the same time, you can write IF and ELSE conditions (Two-way decision).
Multiple IF conditions the best example.def main():         celsius = float(input("What is the Celsius temperature? "))         fahrenheit = 9/5 * celsius + 32         print("The temperature is", fahrenheit, "degrees Fahrenheit.")  # Print warnings for extreme temps  if fahrenheit > 90:  print("It's really hot out there. Be careful!")  if fahrenhe…
Read more

Best Machine Learning Book for Beginners

Image
You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

Related Posts How to write multiple IF-conditions in Python Simplified
Read more