Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning.

Über diesen Kurs
A working knowledge of Python and Data Analysis and Visualization techniques. A minimum of high school math.
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Describe the various types of Machine Learning algorithms and when to use them
Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression
Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees
Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics
Kompetenzen, die Sie erwerben
- SciPy and scikit-learn
- Machine Learning
- regression
- classification
- Hierarchical Clustering
A working knowledge of Python and Data Analysis and Visualization techniques. A minimum of high school math.
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Probieren Sie Coursera for Business ausBeginnen Sie damit, auf Ihren Bachelor-Abschluss hinzuarbeiten
Lehrplan - Was Sie in diesem Kurs lernen werden
Introduction to Machine Learning
Regression
Classification
Linear Classification
Bewertungen
- 5 stars75,88 %
- 4 stars18,69 %
- 3 stars3,43 %
- 2 stars0,94 %
- 1 star1,03 %
Top-Bewertungen von MASCHINELLES LERNEN MIT PYTHON
In peer graded assignments, if someone is grading any peer below passing criteria then it must be compulsory to let the learner know his mistakes or shortcomings because of which he does not graded.
This course walks us through the fundamentals of machine learning methods. The capstone project is very useful for those who have previous knowledge of machine learning and Python programming.
Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.
The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
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