A tutorial on functions in Python that covers how to write functions, how to call them, and more! Learn about the basics of feature selection and how to implement and investigate various feature selection techniques in Python. Learn about PCA and how it can be leveraged to extract information from the data without any supervision using two popular datasets: Breast Cancer and CIFAR-10. Discover Long Short-Term Memory (LSTM) networks in Python and how you can use them to make stock market predictions! Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python! In this tutorial, you'll learn about commonly used probability distributions in machine learning literature. In this tutorial, you'll learn about Support Vector Machines, one of the most popular and widely used supervised machine learning algorithms. This tutorial will demonstrate how you can install Anaconda, a powerful package manager, on Microsoft Windows. In this tutorial, you'll learn about the statistical concepts behind survival analysis and you'll implement a real-world application of these methods in R.
Learn about Logistic Regression, its basic properties, and build a machine learning model on a real-world application in Python. Learn How to analyze text using NLTK. Analyze people's sentiments and classify movie reviews. This Matplotlib tutorial takes you through the basics Python data visualization: the anatomy of a plot, pyplot and pylab, and much more A NumPy tutorial for beginners in which you'll learn how to create a NumPy array, use broadcasting, access values, manipulate arrays, and much more. This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks. In this tutorial, you are going to learn how to create GUI apps in Python. You'll also learn about all the elements needed to develop GUI apps in Python.