Machine Learning and Deep Learning Projects in Python

Data Science

What you’ll learn

  • Introducing the structure of Machine Learning and Deep Learning and their application in real problems
  • Introducing Machine Learning and Deep Learning algorithms and launching them in projects
  • Implementing Machine Learning and Deep Learning algorithms in Python
  • Familiarity with Python syntax for using Machine Learning and Deep Learning
  • Familiarity with Prediction Models
  • Data preparation and Visualization for use in Machine Learning and Deep Learning algorithms
  • Using Case Studies in projects
  • Learning how to use APIs to collect up-to-date data and learn about different Data sets
  • Introducing and using different Machine Learning and Deep Learning libraries in Python
  • Getting to know different Neural Networks and using them in real projects
  • Image processing using Artificial Neural Network (ANN) in Python
  • Classification with Neural Networks using Python
  • Familiarity with Natural Language Processing (NLP) and its use in projects
  • Forecasting the amount of sales, product price, sales price, etc.
  • Introducing and using algorithm validation metrics such as: Confusion matrix, Accuracy score, Precision score, Recall score, F1 score, etc.
  • +40 Cheat Sheets of Data Science, Machine Learning, Deep Learning and Python

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