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Neural Networks for Classification- Data Science in Python_1

  • Development
  • Nov 21, 2024
SynopsisNeural Networks for Classification: Data Science in Python, a...
Neural Networks for Classification- Data Science in Python_1  No.1

Neural Networks for Classification: Data Science in Python, available at $19.99, has an average rating of 5, with 8 lectures, based on 1 reviews, and has 539 subscribers.

You will learn about Master Multilayer Perceptron Neural Networks in Python Become an advanced, confident, and modern data scientist from scratch Become job-ready by understanding how Neural Networks really work behind the scenes Apply robust Data Science techniques for Multilayer Perceptron Neural Networks Solve Machine Learning Prediction Problems using Neural Networks How to think and work like a data scientist: problem-solving, researching, workflows Get fast and friendly support in the Q&A area This course is ideal for individuals who are Any people who want to start learning Neural Networks in Data Science or Anyone interested in Machine Learning or Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python It is particularly useful for Any people who want to start learning Neural Networks in Data Science or Anyone interested in Machine Learning or Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python.

Enroll now: Neural Networks for Classification: Data Science in Python

Summary

Title: Neural Networks for Classification: Data Science in Python

Price: $19.99

Average Rating: 5

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master Multilayer Perceptron Neural Networks in Python
  • Become an advanced, confident, and modern data scientist from scratch
  • Become job-ready by understanding how Neural Networks really work behind the scenes
  • Apply robust Data Science techniques for Multilayer Perceptron Neural Networks
  • Solve Machine Learning Prediction Problems using Neural Networks
  • How to think and work like a data scientist: problem-solving, researching, workflows
  • Get fast and friendly support in the Q&A area
  • Who Should Attend

  • Any people who want to start learning Neural Networks in Data Science
  • Anyone interested in Machine Learning
  • Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python
  • Target Audiences

  • Any people who want to start learning Neural Networks in Data Science
  • Anyone interested in Machine Learning
  • Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python
  • You’ve just stumbled upon the most complete, in-depth Neural Networks for Classification course online.

    Whether you want to:

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    This course is designed to give you the Neural Network skills you need to become a data science expert. By the end of the course, you will understand the Multilayer Perceptron Neural Networks for Classification method extremely well and be able to apply them in your own data science projects and be productive as a computer scientist and developer.

    What makes this course a bestseller?

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    This course assumes no previous data science experience and takes you from absolute beginner core concepts. You will learn the core dimensionality reduction skills and master the Multilayer Perceptron (MLP) technique. It’s a one-stop shop to learn Multilayer Networks. If you want to go beyond the core content you can do so at any time.

    What if I have questions?

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    This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

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    See you on the inside (hurry, Neural Networks are waiting!)

    Course Curriculum

    Chapter 1: Course Introduction

    Lecture 1: Introduction to Neural Networks

    Lecture 2: Introduction to Machine Learning

    Chapter 2: Code Environment Setup

    Lecture 1: Google Colab for Programming in Python

    Chapter 3: Neural Networks – Data Science Project

    Lecture 1: Introduction to the Dataset

    Lecture 2: Partition of the Dataset

    Lecture 3: Neural Network – Preprocessing

    Lecture 4: Neural Network – Training

    Lecture 5: Neural Network – Performance Evaluation

    Instructors

  • Neural Networks for Classification- Data Science in Python_1  No.2
    Lucas Bazilio
    Engineer and Mathematician
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  • 5 stars: 1 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!