Search result for Python for everybody specialization Online Courses & Certifications
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How Google does Machine Learning
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs. Evaluating Metrics for Inclusion Python Notebooks in the cloud...
Data Science with Python 3.x
by Packt Publishing- 3.9
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13.5 hours on-demand video
Gain useful insights from data by performing popular data science techniques using Python libraries Prior to this, he worked as a Python developer at Qualcomm. He has been programming in Python for more than 12 years and has been using Python for data analytics and data science for 6 years....
$9.99
A Beginner's Guide to Machine Learning (in Python)
by Curiosity for Data Science- 4.7
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3.5 hours on-demand video
Learn supervised learning for structured data, and implement them using Python programming Ask for a 30-day refund!! 2) "The instructor gives a very basic explanation for complicated material. that makes it very easy for me to understand given that I already studied that in a master class but I understand it better here....
$11.99
Principles of Computing (Part 2)
by Scott Rixner , Joe Warren , Luay Nakhleh- 4.8
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Approx. 16 hours to complete
Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. Practice Activity - Binary representations for numbers...
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
Describe strategies for dealing with missing data Apply several methods for dealing with multiple testing If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses. Data Visualization in Python Strategies for Missing Data...
Visual Perception for Self-Driving Cars
by Steven Waslander- 4.7
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Approx. 31 hours to complete
Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. Welcome to Course 3: Visual Perception for Self-Driving Cars...
Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
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Approx. 24 hours to complete
Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance. The course is designed for three categories of students: Specialization Objectives Specialization Prerequisites Gradient Descent for Neural Networks...
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AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 9 hours to complete
This course introduces you to an area that few data scientists are able to experience: Deploying models for use in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses. Optimizing Performance in Python...
Scalable Data Analysis in Python with Dask
by Packt Publishing- 3.6
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3.5 hours on-demand video
Data analysts, Machine Learning professionals, and data scientists often use tools such as Pandas, Scikit-Learn, and NumPy for data analysis on their personal computer. And that’s just for a couple of million rows! Finally, you’ll learn to use its unique offering for machine learning, using the Dask-ML package. Prior to this, he worked as a Python developer at Qualcomm....
$11.99
M2M & IoT Interface Design & Protocols for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
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Approx. 9 hours to complete
This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. Cloud Architectures for Embedded Systems UML and Patterns for Architectural Design Cloud for IoT Cloud Support for IoT/Embedded Devices IoT Application Protocols, Cloud for IoT, AWS, AWS IoT...
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