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Data Science, Analytics & AI Real world Project using Python

Data science ,Analytics & AI Real world Project using Python
Data science ,Analytics & AI Real world Project using Python

Data Science, Analytics & AI Real world Project using Python

Become a master of AI, Data Analytics, Machine Learning, and Data Science by solving real-world analytics problems with Python in this course!

What you’ll learn

Data Science, Analytics & AI Real world Project using Python

  • Become a hero in a short time. The whole process of AI/Data Science/Machine Learning, from collecting data to making a machine learning model.
  • Various Feature Engineering Methods and how to use them in the real world
  • How to deal with a real-world problem…
  • In your business, job, or even in real-time, powerful Data Science and Machine Learning algorithms can help you solve any problem you might have.
  • It is called a “case study.”

Requirements

  • Python programming skills are recommended.

Description

Here’s the first course that gives you real-world projects to do with Python for Data Science, Analytics, and AI that you can do right now!

When I first learned about Data Science, I wish I had taken this course. It’s the kind, of course, I wish I had taken.

It teaches you about the theory and programming skills you need to be a Data Scientist. The best part is that it has Practical Case Studies that show how Data Scientists solve real-world business problems.

With python programming and other data analytics concepts, this class will also teach you how to use these tools

  • This is how data is shown in a way that makes sense
  • Data is cleaned.
  • In this case, the query analysis.
  • Exploration of data
  • Statistical and Probability ideas
  • Feature engineering is the process of making things that work together.
  • Featurization
  • There are people who work with natural language.
  • In machine learning, you learn how to do things
  • Changing the model so that it fits your needs better

In the last four years, “Data Scientist” has been “the best job in the US,” says the Harvard Business Review and Glassdoor.

This course tries to fill in all the gaps in knowledge that scare off people who are just starting out with data science, machine learning, data analysis, and natural language processing. At the same time, you’ll be able to apply your new skills to real-world business problems.

Who this course is for:

  • Beginners of Data Science
  • Those who work with data and want to do more with it
  • College graduates who haven’t worked in the real world.
  • If you’re a software developer or an engineer who wants to start learning about data science.
  • Anyone who wants to get a better job as a Data Scientist should read this.
  • Anyone who wants to learn how to use data to solve real-world problems

Who this course is for:

  • Data Scientists who want to use their skills in real-world case studies.

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