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Data Science Machine Learning & AI with 7 Hands on Projects

Data Science Machine Learning & AI with 7 Hands on Projects
Data Science Machine Learning & AI with 7 Hands on Projects

Data Science Machine Learning & AI with 7 Hands on Projects

The best way to learn more about Data Science, Machine Learning, and AI is to work on hands-on projects with real people.

What you’ll learn

Data Science Machine Learning & AI with 7 Hands on Projects

  • Learn how to do exploratory data analysis.
  • Use this guide to learn how to use Python for data science and machine learning.
  • Data science, machine learning, and AI-based projects that are done all the way through can be built.
  • Machine and Deep learning algorithms will be used.
  • Skills for solving problems based on Data Science, ML and AI problems.
  • Prescriptive analytics is used to figure out what will happen if you make future decisions.
  • Predictive modelling and Predictive analysis, as well.
  • In this lesson, you will learn how to build an army of powerful Machine Learning models and how to use them to solve any problem.

Requirements

  • So far, there aren’t any prerequisites.

Description

There you will learn how to make amazing capstone and advanced level data science, machine learning, and AI-based apps.

Even if you want to become a Data Analyst, a Python developer, a Full Stack Web Developer, or a Data Scientist, this course can help you. We’ll do the same by not just learning but also mastering the skills.

AI-based projects like:

The Flavour Recommendation System

Putting a star on the Bot

Recognizer of Faces

Guess the Game – Puzzle.

3D graph contour and triangulation of the surface

Project: Spam Email Prediction Project

In Python, you can use Tensor Flow and Keras’ Sequential API to classify images.

Here, we start with simple projects, then move on to more complicated projects so that we can better understand. Keep watching in the order that is shown.

If you want to make AI applications that are very powerful, you need to learn how to code (ai).

So you’re in the right place.

The goal of this class is to give you both theoretical and practical knowledge, help you learn about modern AI, data science, and machine learning, and help you work on capstone and advanced level projects.

This course is based on what some Google developers who have worked on the site for 8 years or more have learned.

These projects, once built and understood, can make a big difference in your life.

So if you want to work for one of the MAANG companies, you should put these things in your resume.

Who this course is for:

  • Anyone who wants to learn more about Data Science, Machine Learning, and AI is welcome to come.
  • This class is for anyone who wants to improve their AI skills. It’s for everyone.
  • Python coders Interested in Data Science.
  • Those who want to learn how to code in Python from the ground up through building capstone and advanced level projects are interested in this class.
  • Job-seekers, Software Engineers, Machine Learning Engineers, and Data Scientists who want to get better at their jobs
  • A group of students who have at least high school math skills and want to start learning about Machine Learning
  • Everyone who wants to learn more about Python.

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