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Results for "logistic regression for classification"
Skills you'll gain: Bootstrap (Front-End Framework), Web Design and Development, HTML and CSS, User Interface (UI), Front-End Web Development, Responsive Web Design, JavaScript Frameworks, Web Development, Hypertext Markup Language (HTML), Full-Stack Web Development, Cascading Style Sheets (CSS), Back-End Web Development, React.js
University of California, Irvine
Skills you'll gain: Research, Writing, Research Methodologies, Report Writing, Research Design, Writing and Editing, Data Collection, Editing, Grammar, Vocabulary, Style Guides
Status: FreePrinceton University
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Applied Mathematics, Computational Thinking, Computer Programming, Network Routing, Programming Principles, Network Model, Java Programming, Linear Algebra
Status: FreeUniversity of Washington
Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Computer Programming, Ruby (Programming Language), Theoretical Computer Science, Software Design
Status: FreePrinceton University
Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Computer Hardware, Operating Systems, Performance Tuning, Scalability
Status: FreeUNSW Sydney (The University of New South Wales)
Skills you'll gain: Systems Engineering, Engineering Management, Conceptual Design, Systems Design, Requirements Analysis, Systems Development Life Cycle, Requirements Elicitation, Systems Architecture, Systems Integration, System Design and Implementation, Technical Design, Configuration Management, Prototyping, Verification And Validation
University of California, Irvine
Skills you'll gain: Grammar, Vocabulary, Language Learning
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Supervised Learning, Regression Analysis
University of Pennsylvania
Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Analytical Skills, Computer Science, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Computer Architecture, Debugging
Skills you'll gain: Sprint Retrospectives, Agile Product Development, Agile Software Development, Backlogs, Stakeholder Communications, Scrum (Software Development), Agile Methodology, Stakeholder Management, Cross-Functional Collaboration, Kanban Principles, Product Roadmaps, Information Technology, Agile Project Management, Computer Hardware, Prioritization, Virtual Teams, Product Strategy, Product Management, User Story, Sprint Planning
Skills you'll gain: Order Fulfillment, E-Commerce, Campaign Management, Retail Management, Customer Engagement, Marketing Strategies, Market Research, Digital Marketing, Shipping and Receiving, Advertising, Retail Sales, Web Analytics, Trend Analysis, Market Trend
University of Michigan
Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Application Security, Software Installation, Data Validation
In summary, here are 10 of our most popular logistic regression for classification courses
- Introduction to Back-End Development: Meta
- Introduction to Research for Essay Writing: University of California, Irvine
- Algorithms, Part II: Princeton University
- Programming Languages, Part A: University of Washington
- Computer Architecture: Princeton University
- Introduction to Systems Engineering: UNSW Sydney (The University of New South Wales)
- Learn English: Beginning Grammar: University of California, Irvine
- Introduction to Deep Learning & Neural Networks with Keras: IBM
- Computational Thinking for Problem Solving: University of Pennsylvania
- IBM Product Owner: IBM
