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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.


Popular Supervised Learning Courses and Certifications


  • Status: Preview
    Preview
    U

    Universidad Autónoma Metropolitana

    Reading and Comprehension of Text in English Module 2

    Skills you'll gain: Vocabulary, Literacy, English Language, Grammar, Data Analysis, Graphing, Writing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidades Anáhuac

    Spanish for the Workplace: From basics to business

    Skills you'll gain: Office Procedures, Interviewing Skills

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Basic English Skills: Hobbies

    Skills you'll gain: Vocabulary, Oral Comprehension, English Language, Grammar, Language Competency, Literacy, Language Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Shanghai Jiao Tong University

    The amazing world of the ethnic groups of Yunnan Province

    Skills you'll gain: Language Learning, Culture, English Language, Cultural Diversity, Liberal Arts, Performing Arts, Diversity Awareness, Anthropology, Intercultural Competence, Social Studies, Music, Demography

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    The Role of Culture in Teaching English Learners

    Skills you'll gain: Diversity Awareness, Culture, Cultural Responsiveness, Intercultural Competence, Cultural Diversity, Teaching, Instructing, Curriculum Planning, Mathematics Education, Cultural Sensitivity, Education and Training, English Language, Language Learning, Pedagogy, Diversity Equity and Inclusion Initiatives, Student Engagement, Lesson Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Inglés Empresarial: Proyecto Final

    Skills you'll gain: English Language, Product Planning, Business Planning, Financial Analysis, New Product Development, Budgeting, Marketing Planning, Management Reporting, Business Communication, Business Writing, Presentations, Project Documentation

    4.5
    Rating, 4.5 out of 5 stars
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    34 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Data Modeling, Relational Databases, Stored Procedure, Model Deployment, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, GitHub, Data Preprocessing, Data Cleansing, R (Software), Cloud Computing, Data Analysis, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    101K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    L

    Lund University

    Akademiskt skrivande

    Skills you'll gain: Writing, Editing, Literacy, Grammar, Peer Review, Constructive Feedback, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Università di Napoli Federico II

    English Pre Advanced B2.2

    Skills you'll gain: English Language, Grammar, Vocabulary, Journalism, Media and Communications, Communication, Cultural Diversity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

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1…737475…541

In summary, here are 10 of our most popular supervised learning courses

  • Reading and Comprehension of Text in English Module 2: Universidad Autónoma Metropolitana
  • Convolutional Neural Networks: DeepLearning.AI
  • Spanish for the Workplace: From basics to business: Universidades Anáhuac
  • Basic English Skills: Hobbies: University of California, Davis
  • The amazing world of the ethnic groups of Yunnan Province: Shanghai Jiao Tong University
  • The Role of Culture in Teaching English Learners: Rice University
  • Inglés Empresarial: Proyecto Final: Arizona State University
  • Data Science: Johns Hopkins University
  • Introduction to Data Science: IBM
  • Akademiskt skrivande: Lund University

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