[Python Project] Recognizing Handwritten Digits #2: Processing and Visualizing our Digits

Veröffentlicht am: 07 Oktober 2020
auf dem Kanal: TheCodex
2,696
39

Vibe coding web applications with Claude Code? Speed up your workflow https://withcascade.com/ ... This project is a beginner-friendly Python and Machine Learning application focused on building a logistic regression model to analyze and recognize handwritten digits from the MNIST dataset. We’ll read over 70,000 input samples, visualize and analyze each digit, create our testing and training datasets, fit the logistic regression model and visualize the accuracy of our predictions with a confusion matrix!

Blog for Project: https://blog.thecodex.me/
GitHub for Source Code: https://github.com/TheCodex-Me/Projects

► SIGN UP ON THECODEX TODAY! https://www.thecodex.me/
► THECODEX BLOG: https://blog.thecodex.me/
► TWITTER:   / thecodexme  
► FACEBOOK:   / thecodexme  

♦♦♦♦♦♦♦♦♦♦

THECODEX is a company focused on empowering and enabling anyone to learn how to code. Established in 2015 by Avinash Jain, THECODEX has taught over 600,000 students around the world how to code. With over 16 programming courses on a wide variety of topics, and more than 20,000 5-Star reviews, THECODEX is the right choice for you.

We provide engaging and comprehensive videos that break down complex information and cover everything you need to know about the subject. All students get access to our Q/A forums where you can get your doubts and problems cleared up. At the end of every course, you will receive a certificate of completion.

Jumpstart your Coding Journey with THECODEX today!


Auf dieser Seite können Sie das Online-Video [Python Project] Recognizing Handwritten Digits #2: Processing and Visualizing our Digits mit der Dauer stunde minuten sekunde in guter Qualität ansehen, das der Benutzer TheCodex 07 Oktober 2020 hochgeladen hat, den Link mit Freunden und Bekannten teilen, dieses Video wurde auf Youtube bereits 2,696 Mal angesehen und es wurde von 39 den Zuschauern gefallen. Viel Spaß beim Betrachtenden Zuschauern gefallen!