

IBM - IBM Machine Learning Professional Certificate
- Offered byCoursera
- Public/Government Institute
IBM Machine Learning Professional Certificate at Coursera Overview
IBM Machine Learning Professional Certificate
at Coursera
Duration | 6 months |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
IBM Machine Learning Professional Certificate at Coursera Highlights
IBM Machine Learning Professional Certificate
at Coursera
- Earn a Certificate upon completion
Skills -Data Science,Deep Learning,Artificial Intelligence (AI),Machine Learning,Python Programming,Feature Engineering,Statistical Hypothesis Testing,Exploratory Data Analysis,Regression Analysis,Supervised Learning,Linear Regression,Ridge Regression
Tools: Jupyter Notebooks and Watson Studio
Libraries: Pandas, NumPy, Matplotlib, Seaborn, ipython-sql, Scikit-learn, ScipPy, Keras, and TensorFlow.
IBM Machine Learning Professional Certificate at Coursera Course details
IBM Machine Learning Professional Certificate
at Coursera
Skills you will learn
More about this course
- Machine Learning is one of the most in-demand skills for jobs related to modern AI applications, a field in which hiring has grown 74% annually for the last four years (LinkedIn)
- It also complements your learning with special topics, including Time Series Analysis and Survival Analysis
- This program consists of 6 courses providing you with solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning
- Although it is recommended that you have some background in Python programming, statistics, and linear algebra
- We start small, provide a solid theoretical background and code-along labs and demos, and build up to more complex topics
IBM Machine Learning Professional Certificate at Coursera Curriculum
IBM Machine Learning Professional Certificate
at Coursera
Exploratory Data Analysis for Machine Learning
Supervised Machine Learning: Regression
Supervised Machine Learning: Classification
Unsupervised Machine Learning
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