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.
Could your company benefit from training employees on in-demand skills?
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.
Could your company benefit from training employees on in-demand skills?
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 stars75.88%
- 4 stars18.69%
- 3 stars3.44%
- 2 stars0.94%
- 1 star1.03%
TOP REVIEWS FROM MACHINE LEARNING WITH PYTHON
Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
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!
could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Certificate?
More questions? Visit the Learner Help Center.