2 Courses and Certifications

IBM Machine Learning With Python Courses & Certifications

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Machine Learning with Python

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Certificate

Machine Learning with Python

We live in an era where data surrounds us in various forms. For businesses, data-driven decision-making assumes great significance. In order to gain a competitive edge in the global scenario, businesses make use of machine learning to unlock the premium value from the data available to them via various sources. Simply put, machine learning is the unique process of enabling machines to make intelligent decisions with the use of data provided.

In today’s highly digitalized world, almost every machine or system is embedded with machine learning algorithms, in one form of the other. Facebook, Google Search, LinkedIn, Amazon and similar systems are powered by machine learning algorithms to make them highly efficient and responsive. Python, a widely-used open-source programming language offers widespread libraries, low-level barrier, flexibility, versatility, ease in readability and ample visualisation tools; thereby making it one of the most preferred programming languages for ML developers.

The Machine Learning with Python course, offered by IBM via Coursera, offers the participants an opportunity to learn the basics of machine learning using Python. The course has been uniquely designed to assist the participants in culminating key skills in ML by making use of Python tools and techniques. The course can be completed within 6 weeks and upon completion, participants will receive the Certificate from Coursera, as well as the IBM Digital Badge.

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6 Weeks
Intermediate
3,184
Skills Covered:
Knowledge of Python
Machine Learning with Python a Practical Introduction

Offered by

IBM via Edx
Certificate

Machine Learning with Python: A Practical Introduction

Machine Learning with Python: A Practical Introduction Certification Course will explore many popular and modern algorithms including Classification, Regression, Clustering, and models such as Train Split, Root Mean Squared Error (RMSE). Also, students will look and learn from genuine and authentic examples of machine learning and see how it affects society in ways you may not have speculated. 

Machine learning from the past few years has become an integral part of many commercial applications, software and research projects, yet this field is not exclusive to huge companies and organizations with extensive research teams. If you start to use Python language, even as a beginner, this short-term course will teach you practical ways to write and build your own machine learning solutions and machine learning applications are limited only by your imagination.

The Machine Learning with Python: A Practical Introduction Classes will be useful for the students to create products that parse, reduce, simplify and categorize computer data, and then extract actionable intelligence from that data. Machine Learning with Python: A Practical Introduction Certification Course is offered by EdX in association with IBM. There are two options for pursuing the self-paced programme; verified and free. In the verified mode, the learners can take the self-paced course by paying the fee and get unlimited access and in the free mode, they can audit it for a limited duration. 

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5 Weeks
Beginner
Free
Skills Covered:
Machine learning Knowledge of Python

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