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[Tensorflow2] Complete conquest of Python machine learning - Marathon record prediction project

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

(4.1) 25 reviews

382 learners

Level Intermediate

Course period Unlimited

  • nomad
Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Keras
Keras
Computer Vision(CV)
Computer Vision(CV)
Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Keras
Keras
Computer Vision(CV)
Computer Vision(CV)

Reviews from Early Learners

Reviews from Early Learners

4.1

5.0

송치훈

62% enrolled

I enjoyed trying it as a sample.

5.0

chrischina

50% enrolled

Thanks for the great explanation.

5.0

방자만세

100% enrolled

thank you

What you will gain after the course

  • Build machine learning models and programs

  • Problem Solving with TensorFlow

  • Predicting machine learning classification results

  • Predicting machine learning regression results

  • Understanding artificial intelligence, machine learning, and deep learning

  • Data processing for machine learning and deep learning

  • Data processing and analysis with Python Pandas

  • Data Analysis Using Python

[TensorFlow 2] Complete Python Machine Learning - Marathon Record Prediction Project

Learn both the concepts and practical techniques of machine learning using Python and TensorFlow2.
We will hone your skills by working together on five different projects based on core topics.

Boston Marathon Big Data with Python and TensorFlow

Along with the basic concepts of machine learning, the core topics of regression and classification are covered.

Develop concepts and practical application skills while learning five projects together.

This is a fun and useful machine learning project course.

Project 1. Basics of Linear Regression
: Predicting the remaining marathon time

Learn the concept of linear regression, the foundation of machine learning.

Learn the fundamentals of linear regression and use Python TensorFlow to analyze and predict Boston Marathon data using machine learning.

Using big data from approximately 80,000 Boston Marathon events, we select a desired runner and machine learning learns their times up to 30km. We then use linear regression to predict the remaining 35, 40, and 42.195km times and compare them with actual data. We learn the concepts and techniques for solving linear regression problems using TensorFlow.

Project 2. Multi-Variable Regression
: Marathon completion record prediction

Understand multi-variable regression problems and learn how to solve them.

Learn the basics and solutions to multi-variable regression problems, then predict your and your friends' Boston Marathon completion times by inputting gender, age, and pace data.

Check out the results of machine learning, which uses multi-variable regression techniques to predict completion times based on gender, age, and pace values, and then trained on approximately 80,000 Boston Marathon big data sets. Even without running the marathon, machine learning predicts times based on data learned and analyzed.

Project 3. Multi-Variable, Output Regression
: Marathon section record prediction

Understand multi-variable, output regression problems and learn how to solve them.

In this lesson, you'll learn the basics and solutions of regression problems, which take multiple variables as input and produce multiple outputs. By inputting gender, age, and pace data, you'll predict not only the Boston Marathon completion time but also the predicted times for the 10, 20, and 30 km sections.

Using the Multi Variable Input and Multi Output Regression technique, the machine learning that receives gender, age, and pace values and learns from about 80,000 Boston Marathon big data predicts not only the completion record but also the records for each 10, 20, and 30 km section.

Project 4. Binary Logistic Classification
: Check if you qualify for the marathon

Understand the concept of Binary Classification, the basis of Logistic Regression/Classification, and learn how to solve it.

Before applying for a marathon, enter your gender, age, and pace data to see if you qualify. Based on your past Boston Marathon performance, we'll predict your qualification.

Using the binary classification technique, a fundamental part of logistic regression, we will predict whether a participant will qualify for the marathon. We will also learn how to add qualifying information to the existing Boston Marathon data set of approximately 80,000 entries, utilizing advanced Python Pandas techniques.

Project 5. Multinomial Logistic Classification
: Marathon record class prediction

Understand the concept of Multinomial Classification in Logistic Regression/Classification and learn how to solve it.

Before entering a marathon, enter your gender, age, and pace data to check your predicted time class. Based on past Boston Marathon times, we'll predict your time class.

Using the Multinomial Classification technique of Logistic Regression, we divide your marathon completion record into three grades: 'Outstanding (>25%)', 'Average (25~75%)', and 'Below (<75%)', and predict your expected grade.

Special lecture

'Model accuracy over 99%  We have added a special lecture titled 'Raising the bar'. This lecture is titled ' [ Raspberry Pi ] IoT Deep Learning Computer Vision Practice'.  The project began with a question from students in the MNIST handwriting model: "Why can't the MNIST handwriting model say '7' is '7'?" While the model's accuracy is a factor, as are the program's exception handling and the raw MNIST data, the existing Nueral Network model was too simple for training purposes, so I reconfigured it to increase its accuracy to 99.38%.

 

Please look forward to future lectures on deep learning, IoT, and other topics utilizing machine learning.
The materials and program sources used in the lecture can be found on the website Creapple (www.creapple.com), a knowledge learning platform I run.

Taking a course on Python fundamentals and data visualization and analysis will be of great help in carrying out your project.

Python 100-Minute Core Course
The core and fundamentals of Python
Once you master the skills, it will be a great help in other courses.
Python Data Visualization Analysis Practical Project

Machine learning using Python's Pandas, Matplotlib, and Seaborn,
It can be used in various projects such as deep learning.
Learn data visualization and analysis techniques all at once.

Recommended for
these people

Who is this course right for?

  • Those who want to use artificial intelligence in practice

  • Those who want to develop basic knowledge for deep learning

  • Anyone who wants to learn data science

  • For those who want to use TensorFlow directly

  • Those who want to develop machine learning concepts and practical skills at the same time

  • Anyone working on a data analysis project

  • For those preparing for machine learning/deep learning projects

Need to know before starting?

  • Python Data Processing, Visualization - Python Data Visualization Analysis Practical Project

  • Python Basics - Python 100-minute core lecture

  • Willingness to study hard

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Answers

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Rating

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Curriculum

All

42 lectures ∙ (8hr 51min)

Published: 
Last updated: 

Reviews

All

25 reviews

4.1

25 reviews

  • bmkingsong7020님의 프로필 이미지
    bmkingsong7020

    Reviews 3

    Average Rating 4.3

    5

    62% enrolled

    I enjoyed trying it as a sample.

    • twotone3654382님의 프로필 이미지
      twotone3654382

      Reviews 24

      Average Rating 4.5

      4

      100% enrolled

      It was a very informative lecture.

      • chrischina7429님의 프로필 이미지
        chrischina7429

        Reviews 4

        Average Rating 5.0

        5

        50% enrolled

        Thanks for the great explanation.

        • 4europa1007님의 프로필 이미지
          4europa1007

          Reviews 26

          Average Rating 4.9

          5

          100% enrolled

          thank you

          • jspark78832022님의 프로필 이미지
            jspark78832022

            Reviews 2

            Average Rating 5.0

            5

            100% enrolled

            Good posture!!

            $26.40

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