Machine Learning, Data Science and Deep Learning with Python

Machine Learning, Data Science and Deep Learning with Python

Full hands-on machine studying tutorial with knowledge science, Tensorflow, synthetic intelligence, and neural networks

What you’ll be taught

  • Construct synthetic neural networks with Tensorflow and Keras
  • Classify photographs, knowledge, and sentiments utilizing deep studying
  • Make predictions utilizing linear regression, polynomial regression, and multivariate regression
  • Data Visualization with MatPlotLib and Seaborn
  • Implement machine studying at large scale with Apache Spark’s MLLib
  • Perceive reinforcement studying – and construct a Pac-Man bot
  • Classify knowledge utilizing Ok-Means clustering, Assist Vector Machines (SVM), KNN, Determination Bushes, Naive Bayes, and PCA
  • Use prepare/take a look at and Ok-Fold cross validation to decide on and tune your fashions
  • Construct a film recommender system utilizing item-based and user-based collaborative filtering
  • Clear your enter knowledge to take away outliers
  • Design and consider A/B exams utilizing T-Checks and P-Values


  • You’ll want a desktop laptop (Home windows, Mac, or Linux) able to operating Anaconda three or newer. The course will stroll you thru putting in the mandatory free software program.
  • Some prior coding or scripting expertise is required.
  • A minimum of highschool stage math abilities will probably be required.

  • Software program builders or programmers who need to transition into the profitable knowledge science and machine studying profession path will be taught rather a lot from this course.
  • Technologists interested by how deep studying actually works
  • Data analysts within the finance or different non-tech industries who need to transition into the tech trade can use this course to discover ways to analyze knowledge utilizing code as an alternative of instruments. However, you’ll want some prior expertise in coding or scripting to achieve success.
  • When you have no prior coding or scripting expertise, it’s best to NOT take this course – but. Go take an introductory Python course first.

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