Search result for University of michigan python course Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 204 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Python Functions, Files, and Dictionaries
by Paul Resnick , Steve Oney , Jaclyn Cohen- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
The course is well-suited for you if you have already taken the "Python Basics" course and want to gain further fundamental knowledge of the Python language. This is a follow-up to the "Python Basics" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization....
Natural Language Processing with Classification and Vector Spaces
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
In Course 1 of the Natural Language Processing Specialization, offered by deeplearning. Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization....
Natural Language Processing with Probabilistic Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 28 hours to complete
In Course 2 of the Natural Language Processing Specialization, offered by deeplearning. Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. Sliding Window of Words in Python Sliding Window of words in Python Architecture of the CBOW Model: Dimensions...
Credit Risk Modeling in Python 2021
by 365 Careers- 4.5
-
![]()
![]()
![]()
![]()
![]()
7 hours on-demand video
A complete data science case study: preprocessing, modeling, model validation and maintenance in Python · This is the only online course that shows the complete picture in credit risk in Python (using state of the art techniques to model all three aspects of the expected loss equation - PD, LGD, and EAD) including creating a scorecard from scratch...
$22.99
Functional Programming with Streams in Java 9
by Packt Publishing- 4.3
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
Java 8 introduced a wealth of new features, pushing Java towards the Reaping the full benefits of lambda functions requires employing them with streams, a new kind of collection with built-in streams and collections, and how the latter have changed as a result of Marco Faella is a professor of Computer Science at the University of Naples “Federico II”, Italy....
$12.99
Applied Data Visualization with R and ggplot2
by Packt Publishing- 3.9
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. He studied computer science at Harvard University, design technology at Massachusetts College of Art and Design, and advertising and marketing communications at the Questrom School of Business at Boston University....
$9.99
Learning MongoDB Schema, Indexes and Queries
by Packt Publishing- 5
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
MongoDB makes it possible to store and process large sets of data in ways that increase business value. He graduated in 1991 from Oklahoma State University with an Honors degree in Computer Science. In his career, he's coded in many programming languages and has used a variety of databases, relational and otherwise....
$11.99
Related searches
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
In Course 4 of the Natural Language Processing Specialization, offered by DeepLearning. Learners should have a working knowledge of machine learning, intermediate Python including experience with a deep learning framework (e. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Course 4 Introduction...
State Estimation and Localization for Self-Driving Cars
by Jonathan Kelly , Steven Waslander- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. To succeed in this course, you should have programming experience in Python 3. Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford...
Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
by Rajeev D. Ratan- 4.4
-
![]()
![]()
![]()
![]()
![]()
14 hours on-demand video
"Extremely well taught and informative Computer Vision course! I've trawled the web looking for OpenCV python tutorials resources but this course was by far the best amalgamation of relevant lessons and projects. 5 hour course blows away my college class by miles!!" How to use OpenCV with a FREE Optional course with almost 4 hours of video...
$19.99
Previous
