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30-Day Money-Back Guarantee

This course includes:

  • 7 hours on-demand video
  • 4 articles
  • 8 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Machine Learning

Introduction au Machine Learning

Apprenez à créer sur Python des modèles de Machine Learning puissants et créateurs de valeur. Templates de codes inclus.
Rating: 4.4 out of 54.4 (1,274 ratings)
7,052 students
Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team
Last updated 2/2017
French
30-Day Money-Back Guarantee

What you'll learn

  • Avoir la bonne intuition du Machine Learning
  • Implémenter des modèles de Machine Learning sur Python
  • Créer de la valeur ajoutée dans des problèmes business grâce au Machine Learning
  • Faire des prédictions précises
  • Faire du clustering
  • Gérer et tirer des insights des données
Curated for the Udemy for Business collection

Course content

14 sections • 55 lectures • 7h 13m total length

  • Preview06:51
  • Preview07:05

  • ​Bienvenue à la Partie 1 - Data Preprocessing
    00:16
  • Importer les librairies
    06:29
  • Importer le dataset
    13:49
  • Gérer les données manquantes
    13:18
  • Gérer les variables catégoriques
    16:05
  • Diviser le dataset entre le Training set et le Test set
    09:21
  • Appliquer Feature Scaling
    08:50

  • Bienvenue à la Partie 2 - Régression
    00:18

  • Intuition - Step 1
    05:09
  • Intuition - Step 2
    02:33
  • Implémentation - Step 1
    07:25
  • Implémentation - Step 2
    04:17
  • Implémentation - Step 3
    05:54
  • Implémentation - Step 4
    07:43

  • Intuition - Step 1
    01:10
  • Intuition - Step 2
    01:02
  • Intuition - Step 3
    07:29
  • Intuition - Step 4
    02:37
  • Intuition - Step 5
    16:36
  • Implémentation - Step 1
    11:08
  • Implémentation - Step 2
    09:35

  • Intuition
    04:30
  • Implémentation - Step 1
    06:51
  • Implémentation - Step 2
    06:46
  • Implémentation - Step 3
    06:35

  • R Squared
    05:05
  • Adjusted R Squared
    09:33

  • Bienvenue à la Partie 3 - Classification
    00:24

  • Intuition
    16:50
  • Preview12:24
  • Implémentation - Step 2
    04:44
  • False Positives & False Negatives
    08:15
  • Matrice de confusion
    05:38
  • Implémentation - Step 3
    07:30
  • Implémentation - Step 4
    11:06

  • Intuition
    11:53
  • Implémentation
    08:12

Requirements

  • Simplement les maths du niveau lycée

Description

Intéressé par le domaine du Machine Learning ? Alors ce cours est fait pour vous !

Ce cours a été conçu par deux data scientists professionnels qui partagent leur expertise pour vous aider à intégrer la parfaite intuition des modèles de Machine Learning et vous donner les compétences pour implémenter ces modèles.

Tout se fera step by step de sorte que vous développiez votre compréhension du Machine Learning de manière clair et progressive. Chaque tutoriel vous fera acquérir une nouvelle compétence et de nouvelles bases solides.

Nous construirons des modèles pour résoudre des problèmes business basés sur des scénarios du monde réel. Vous apprendrez comment tirer profit du Machine Learning pour créer de la valeur ajoutée dans ces problèmes business.

Ce cours est divisé en 4 parties, chacune correspondant à une branche fondamentale du Machine Learning:

  • Partie 1 - Data Preprocessing: pour bien préparer les données de sorte à faciliter l'apprentissage du modèle.
  • Partie 2 - Régression: pour prédire une valeur réelle continue.
  • Partie 3 - Classification: pour prédire une catégorie.
  • Partie 4 - Clustering: pour identifier des segments d'observations groupées par similarité.

Et en bonus, ce cours inclut tous les templates de code d'implémentation des modèles de Machine Learning dans le cas général, de sorte que vous puissiez les utiliser très facilement sur vos datasets.

Who this course is for:

  • Toute personne intéressée par le Machine Learning
  • Toute personne intéressée par l'Intelligence Artificielle
  • Toute personne visant une carrière de data scientist
  • Toute personne souhaitant faire la différence en acquérant la compétence "Machine Learning"

Instructors

Hadelin de Ponteves
AI Entrepreneur
Hadelin de Ponteves
  • 4.5 Instructor Rating
  • 263,768 Reviews
  • 1,285,560 Students
  • 84 Courses

Hadelin is the co-founder and CEO at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by innovating, automating processes and maximizing efficiency. Hadelin is also an online entrepreneur who has created 70+ top-rated educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have reached 1M+ students in 210 countries.

Kirill Eremenko
Data Scientist
Kirill Eremenko
  • 4.5 Instructor Rating
  • 493,160 Reviews
  • 1,733,563 Students
  • 121 Courses

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

SuperDataScience Team
Helping Data Scientists Succeed
SuperDataScience Team
  • 4.5 Instructor Rating
  • 455,198 Reviews
  • 1,644,341 Students
  • 107 Courses

Hi there,

We are the SuperDataScience Social team. You will be hearing from us when new SDS courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology. 

See you in class,

Sincerely,

The Real People at SuperDataScience

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