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.

About this Course
A working knowledge of Python and Data Analysis and Visualization techniques. A minimum of high school math.
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Try Coursera for BusinessWhat you will learn
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
Skills you will gain
- 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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Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Introduction to Machine Learning
Regression
Classification
Linear Classification
Reviews
- 5 stars75.96%
- 4 stars18.65%
- 3 stars3.40%
- 2 stars0.94%
- 1 star1.01%
TOP REVIEWS FROM MACHINE LEARNING WITH PYTHON
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.
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.
This course is a great way to start learning about ML, as it sets out what you need to do step-by-step, explains very clearly why, and gives you a chance to experiment and practise. Thank you IBM!
This is an amazing course. specially for those with little knowledge with python. This course has helped with the basic understanding of Machine learning and usage of python as a data scientist.
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