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      Advancing Science Education in Developing Nations

      1 Lesson
      3 hours
      All Levels

      Free International Webinar – 2261 Institute of Global Professionals – …

      What you'll learn
      The course provides the entire toolbox you need to become a data scientist
      Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
      Impress interviewers by showing an understanding of the data science field
      Learn how to pre-process data
      Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
      Start coding in Python and learn how to use it for statistical analysis
      Perform linear and logistic regressions in Python
      Carry out cluster and factor analysis
      Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
      Apply your skills to real-life business cases
      Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
      Unfold the power of deep neural networks
      Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
      Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
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