Sujets liés
Ce cours comprend
- 1 h 10 min de vidéo
- 17 leçons
- Niveau : Débutant
- Langue : English
- On retient où vous en étiez
- Entièrement gratuit, sans carte
Leçons
2 sections · 17 leçons · 1 h 10 min durée totale
Leçons 1 à 1010 leçons · 40 min
- Introduction to Machine Learning for Beginners [Part 1] | Machine Learning for Beginners3 min
- The history of Machine Learning [Part 2] | Machine Learning for Beginners5 min
- Techniques for Machine Learning [Part 3] | Machine Learning for Beginners4 min
- Setup your tools ready to build Machine Learning models [Part 4] | Machine Learning for Beginners4 min
- Introduction to Regression models for Machine Learning [Part 5] | Machine Learning for Beginners3 min
- Set up Jupyter Notebooks to start building regression models [Pt 6] | Machine Learning for Beginners5 min
- Your First Linear Regression Project in Python [Part 7] | Machine Learning for Beginners4 min
- How to Analyze and Clean a Dataset [Part 8] | Machine Learning for Beginners4 min
- How to Visualize Data with Matplotlib [Part 9] | Machine Learning for Beginners4 min
- Understanding Linear Regression [Part 10] | Machine Learning for Beginners3 min
Leçons 11 à 177 leçons · 30 min
- Looking for Correlation: The Key to Linear Regression [Part 11] | Machine Learning for Beginners4 min
- Linear and Polynomial Regression using Scikit-learn [Part 12] | Machine Learning for Beginners5 min
- Categorical Feature Predictions with Linear Regression [Part 13] | Machine Learning for Beginners4 min
- Understanding Logistic Regression for Machine Learning Classification [Part 14] | ML for Beginners3 min
- Data Analysis and Preparation for Logistic Regression [Part 15] | Machine Learning for Beginners5 min
- Logistic Regression for classification of data [Part 16] | Machine Learning for Beginners5 min
- Analyzing Logistic Regression Performance with ROC Curves [Part 17] | Machine Learning for Beginners5 min
Ce qu'il vous faut
- Aucune expérience requise : le cours part de zéro.
Description
Welcome to this course on classical machine learning for beginners! Whether you're completely new to this topic, or an experienced ML practitioner looking to brush up on an area, we're happy to have you join us for our machine learning online course starting at the 101 level! In this video series you will learn all about classical machine learning, including topics such as linear regression and logistic regression. You will get hands on with code leveraging Jupyter Notebooks inside Visual Studio Code and see how to build and use Machine Learning models using tools like SciKit Learn, NumPy, Pandas and Matplotlib. This course is based on the free, open source, 26 lesson ML For Beginners curriculum from Microsoft, which can be found at: https://aka.ms/ml-beginners
À qui s'adresse ce cours
- Celles et ceux qui débutent en Machine learning.
Ces deux points sont notre lecture du niveau. La description est celle de l'auteur.