If you are aPython user, you may have used the package manager pip or the package manager functionality of conda to install, update, or remove packages. If you are anR user, you may have used the RStudio Package
Scikit-learnprovides several built-in datasets for learning purposes. One popular dataset is the “Iris” dataset, which contains data about different species of iris flowers. To load theIrisdataset, use the following code: from sklearn.datasets import load_iris # Load the dataset iris = load_...
Amazon SageMaker Pre-Built Framework Containers and the Python SDK Pre-Built Deep Learning Framework Containers These examples show you how to train and host in pre-built deep learning framework containers using the SageMaker Python SDK. Chainer CIFAR-10 trains a VGG image classification network on ...
The code loads the Iris dataset, trains a Random Forest classifier, and sets up a Flask API endpoint that accepts feature values and returns predictions. We're building this as a web service to make it suitable for containerization. Step 2: Create requirements.txt The requirements.txt file li...
And this is a good plot to understand pairwise relationships in the given dataset. Conclusion Thus with very little coding and configurations, we managed to beautifully visualize the given dataset using Python Seaborn in R and plotted Heatmap and Pairplot. While this post might have b...
You can read a specific sheet by specifying the sheet parameter: Image 2 - Mtcars dataset from an example Excel file But here's the best part - you can specify the row and column ranges in Excel-like syntax. The range parameter is used to specify, well, the range from which you want...
The Python code for the IRIS DMC's Ground Motion Visualization (GMV) data product. GMV is a video-based IRIS DMC data product that illustrates how seismic waves travel away from an earthquake location by animating the normalized recorded wave amplitudes
Create the following density on the sepal_length of iris dataset on your Jupyter Notebook. import seaborn as sns df = sns.load_dataset('iris') Show Solution Iris Histograms 9. What next Congratulations if you were able to reproduce the plot. You might be interested in the matplotlib tutori...
In the below code, We will build three different histograms using the R’s in-built dataset iris and then assign one by one to an R object. Finally, we will use cowplot functionplot_grid()to combine the two plots of our interest. ...
Here, we’ll use the built-in R dataset iris, which contains 3 classes of 50 instances each, where each class refers to a type of iris plant. df <- iris To remove any missing value that might be present in the data, type this: ...