Watch PYTHON NUMPY machine learning (10/30) Video Tutorial


Tutorial Details & Info

Tutorial Title: PYTHON NUMPY machine learning (10/30)
Instructor / Channel: Machine Learnia
Lesson Runtime: 24:33 Minutes
Publish Date: September 12, 2019
Total Students / Views: 258,772 views

Follow step-by-step with PYTHON NUMPY machine learning (10/30) created by Machine Learnia. The total lesson runtime is 24:33 minutes providing step-by-step visual instructions. Follow along to build your skills on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

Cette Formation Python Numpy est un tutoriel français spécial machine learning: Numpy est le package python le plus important pour faire du machine learning et du data science. Numpy comprend le tableau array dit ndarray (n dimensions) qui est un objet extrêmement puissant en machine learning et data science. Numpy propose beaucoup de méthode pour le ndarray, dans cette vidéo nous voyons les différents constructeurs qui permettent d'initialiser les tableau ndarray: np.array() np.zeros() np.ones() np.full() np.random.randn() les deux attributs les plus importants à retenir sont : shape size pour développer des programmes puissants, pensez à définir le type de valeur dans le np.array() avec dtype = np.int16, np.float64 Nous voyons aussi les méthodes les plus utiles pour manipuler la forme de nos tableau numpy: np.vstack np.hstack np.concatenate np.reshape np.squeeze np.ravel Il n'y a rien de plus à retenir pour bien se lancer avec Numpy. Ignorez les autres attributs et méthodes pour le moment ! ► Timeline de la vidéo : 0:00 Intro 00:40 Le tableau Numpy, ses dimensions et sa shape 05:20 initialiser un ndarray: np.ones, np.zeros, 09:15 np.random.randn 12:04 np.linspace, np.arange 13:24 dtype=np.float16 np.float64 15:43 Assembler des tableaux: vstack hstack concatenate 18:40 np.reshape np.squeeze 22:10 np.ravel() 23:08 Exercice ► Soutenez-moi sur Tipeee pour du contenu BONUS: https://fr.tipeee.com/machine-learnia ► Documentation Numpy pour ndarray: https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html ► Documentation Numpy pour np.random: https://docs.scipy.org/doc/numpy-1.16.0/reference/routines.random.html ► ARTICLE EN COMPLÉMENT DE CETTE VIDÉO: https://www.machinelearnia.com/ ► NOTRE COMMUNAUTÉ DISCORD https://discord.gg/WMvHpzu ► Recevez gratuitement mon Livre: APPRENDRE LE MACHINE LEARNING EN UNE SEMAINE CLIQUEZ ICI: https://www.machinelearnia.com/apprendre-le-machine-learning-en-une-semaine/ ► Télécharger gratuitement mes codes sur github: https://github.com/MachineLearnia ► Abonnez-vous : https://www.youtube.com/channel/UCmpptkXu8iIFe6kfDK5o7VQ ► Une question ? Contactez-moi: contact@machinelearnia.com

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for PYTHON NUMPY machine learning (10/30) taught by Machine Learnia. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for PYTHON NUMPY machine learning (10/30).
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Machine Learnia with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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