In this post you will discover a database of high-quality, real-world, and well understood machine learning datasets that you can use to practice applied machine learning. This database is called the UCI machine learning repository and you can use it to structure a self-study program and bui...
In this post, you discovered 10 top standard datasets that you can use to practice applied machine learning.Here is your next step:Pick one dataset. Grab your favorite tool (like Weka, scikit-learn or R) See how much you can beat the standard scores. Report your results in the comments ...
The CIFAR-100 dataset is a great dataset to practice your machine learning skills. This dataset contains 100 images of objects in six categories: airplane, car, cat, deer, dog, and ship. Each image is 32x32 pixels and has three color channels (red, green, blue). The go...
--> Sklearn comes loaded with datasets to practice machine learning techniques and iris is one of them. --> Iris has 4 numerical features and a tri class target variable. --> This dataset can be used for classification as well as clustering. --> In this dataset, there are 4 features...
In this tutorial, we'll show how to achieve high-quality data and improve our machine learning classification results.
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datas
When first learning data science, you will inevitably find yourself looking for more datasets to practice with. Here, we recommend the 3 best sites to find datasets to spark your next data science project.
I will show you one more option that is the UCI Machine Learning repository. We will explore this as well. It's a very fantastic repository. Those who practice machine learning, love this website as it has a lot of datasets. Here, you can see it is showing a record of 588 datasets,...
If you want to actually learn, you should practice with problems for which you have the answers. When you feel confident about those problems, try problems for which you don't already know the answers. That's basically how the machine learning classifier "learns."...
R has many built-in datasets you can use to learn and practice data analysis. Here are some of the most popular built-in datasets in R: airquality:This dataset contains air quality measurements in New York City from 1973. It has 154 observations and 6 variables. ...