Wondering whether you should use Python or R for data analysis? You’ve come to the right place.
learning data science+5
In this tutorial, you'll learn basic time-series concepts and basic methods for forecasting time series data using spreadsheets. Discover Python regular expressions: find basic and complex patterns, repetitions, or to do (non-)greedy matching, work with the re library and much more! Learn the basics of sentiment analysis and how to build a simple sentiment classifier in Python. Learn how you can execute a Python script from the command line, and also how you can provide command line arguments to your script. Learn the common tricks to handle categorical data and preprocess it to build machine learning models! In this basic Python tutorial, you'll learn about why and when you should use inner classes. 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. Discover Long Short-Term Memory (LSTM) networks in Python and how you can use them to make stock market predictions! 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. 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.