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Practical Machine Learning by Example in Python

 In this course, you will work through several practical, machine learning examples, such as image recognition, sentiment analysis, fraud detection, and more. In the process, you will learn how to use modern frameworks, such as Keras, NumPy, Pandas, and Matplotlib. You will also learn how use powerful and free development environments in the cloud, like Google Colab.
 Practical Machine Learning by Example in Python
What you'll learn
  • Develop complete machine learning solutions in Python
  • Write and test Python code interactively using Jupyter notebook
  • Build, train, and test deep learning models using the popular Keras API
  • Manipulate multidimensional data using NumPy
  • Load and transform structured data using Pandas
  • Build high quality, eye catching visualizations with Matplotlib
  • Reduce training time using free Google Colab GPU instances in the cloud
  • Recognize images using Convolutional Neural Networks (CNNs)
 Are you a developer interested in becoming a data scientist or machine learning engineer?  Do you want to be proficient in the rapidly growing field of machine learning? One of the fastest and easiest ways to learn these skills is by example. 
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