When we finish a Python project and roll it out for other people to use, the easiest way is to present our project as a command-line program. If you want to make it friendlier, you may want to develop a GUI for your program so people can interact with it with mouse clicks while it […]
After all the hard work developing a project in Python, we want to share our project with other people. It can be your friends or your colleagues. Maybe they are not interested in your code, but they want to run it and make some real use of it. For example, you create a regression model […]
In the old days, it was a tedious job to collect data, and it was sometimes very expensive. Machine learning projects cannot live without data. Luckily, we have a lot of data on the web at our disposal nowadays. We can copy data from the web to create our dataset. We can manually download files […]
When we talk about managing data, it is quite inevitable to see data presented in tables. With column header, and sometimes with names for rows, it makes understanding data easier. In fact, it often happens that we see data of different types staying together. For example, we have quantity as numbers and name as strings […]
Python is a general-purpose computation language, but it is very welcomed in scientific computing. It can replace R and Matlab in many cases, thanks to some libraries in the Python ecosystem. In machine learning, we use some mathematical or statistical functions extensively, and often, we will find NumPy and SciPy useful. In the following, we […]
Compared to other programming exercises, a machine learning project is a blend of code and data. You need both to achieve the result and do something useful. Over the years, many well-known datasets have been created, and many have become standards or benchmarks. In this tutorial, we are going to see how we can obtain […]
Calculus for Machine Learning Crash Course. Get familiar with the calculus techniques in machine learning in 7 days. Calculus is an important mathematics technique behind many machine learning algorithms. You don’t always need to know it to use the algorithms. When you go deeper, you will see it is ubiquitous in every discussion on the […]
Python is a neat programming language because its syntax is simple, clear, and concise. But Python would not be so successful without its rich third-party libraries. Python is so famous for data science and machine learning that it has become a de facto lingua franca just because we have so many libraries for those tasks. […]
Working on a machine learning project means we need to experiment. Having a way to configure your script easily will help you move faster. In Python, we have a way to adapt the code from a command line. In this tutorial, we are going to see how we can leverage the command line arguments to […]
When we work on a machine learning project, we quite often need to experiment with multiple alternatives. Some features in Python allow us to try out different options without much effort. In this tutorial, we are going to see some tips to make our experiments faster. After finishing this tutorial, you will learn: How to […]
