DevRepublik
  • Events
  • Online Освіта
    • Курси
      • Data Science Specialization
        • Math and Statistics for Data Science
        • Python for Data Science
        • Machine Learning Course
      • Python Basics
      • Python Advanced
      • Statistics
      • Data Science for non-technical
      • Automation QA
    • Вебінари
      • Python
        • Packages: NumPy, SymPy, Pandas
        • Packages for Data Visualization
      • Data Analysis
        • What is Data Science
        • Careers in Data
        • Statistical Hypothesis Testing
        • Power BI, Google Data Studio
        • Time Series Analysis
      • Machine Learning
        • Loss Functions
        • Tree-based models
        • Logistic Regression on Python
        • Logistic Regression and Math behind it
        • Linear Regression on Python
        • Linear Regression and Math behind it
      • Deep Learning
        • Computer Vision Introduction
        • Recommendation systems
      • Data Engineering
        • Pipelines
        • Model deployment using Flask
        • Data Science project workflow
      • Supervised learning
        • kNN
        • Reinforcement Learning
        • Neural Networks
        • Classification and Regression Trees
        • Gradient Boosting, XGboost
        • Adaboost
        • Support Vector Machine
      • Unsupervised Learning
        • Anomaly Detection
        • Principal component analysis (PCA)
        • k-means clustering
        • Hierarchical clustering
    • Workshops
    • SAFe certification
      • SaFe
      • SAFe® Product Owner/ Product Manager
      • SAFe DevOps
      • SAFe® for Teams
      • SAFe® Scrum Master
  • Компаніям
  • Випускники
  • Наші Інструктори
  • Блог
  • Контакти
  • 0635134865
  • English

    © 2020 DevRepublik. Всі права захищені Політика Конфіденційності. Договір Публічної Оферти

    • Events
    • Online Освіта
      • Курси
        • Data Science Specialization
          • Math and Statistics for Data Science
          • Python for Data Science
          • Machine Learning Course
        • Python Basics
        • Python Advanced
        • Statistics
        • Data Science for non-technical
        • Automation QA
      • Вебінари
        • Python
          • Packages: NumPy, SymPy, Pandas
          • Packages for Data Visualization
        • Data Analysis
          • What is Data Science
          • Careers in Data
          • Statistical Hypothesis Testing
          • Power BI, Google Data Studio
          • Time Series Analysis
        • Machine Learning
          • Loss Functions
          • Tree-based models
          • Logistic Regression on Python
          • Logistic Regression and Math behind it
          • Linear Regression on Python
          • Linear Regression and Math behind it
        • Deep Learning
          • Computer Vision Introduction
          • Recommendation systems
        • Data Engineering
          • Pipelines
          • Model deployment using Flask
          • Data Science project workflow
        • Supervised learning
          • kNN
          • Reinforcement Learning
          • Neural Networks
          • Classification and Regression Trees
          • Gradient Boosting, XGboost
          • Adaboost
          • Support Vector Machine
        • Unsupervised Learning
          • Anomaly Detection
          • Principal component analysis (PCA)
          • k-means clustering
          • Hierarchical clustering
      • Workshops
      • SAFe certification
        • SaFe
        • SAFe® Product Owner/ Product Manager
        • SAFe DevOps
        • SAFe® for Teams
        • SAFe® Scrum Master
    • Компаніям
    • Випускники
    • Наші Інструктори
    • Блог
    • Контакти
    • 0635134865
    • English
      Зареєструйся на будь-який курс до 24 квітня і отримай знижку 20%!

       Зарегистрируйся на любой курс до 24 апреля и получи скидку 20%!

      Register for any course until April 24 and get a 20% discount!

      Apply Now

      This website uses cookies

      By using our website, you hereby consent to our Privacy Policy and agree to its Terms and Conditions.

      ACCEPT

      Подать Заявку