In many cases you would like to print the confusion matrix in a better format and look and feel than what is provided by scikit learn by default. The default look when printing confusion matrix using scikit learn scikit-learn default confusion matrix print However in many cases you may like to print the confusion matrix … Continue reading Visualize and Print Confusion Matrix
A scatter plot is a type of plot or graph that uses two coordinates axis (say x and y) to display values for two variables for a set of data. We can use matplotlib library of python to create scatter plot in Jupyter notebook. Let us import the required libraries first: #Import the libraries import … Continue reading Scatter Plot using Matplotlib in Python
Like matplotlib and seaborn we have plotly, that is a data visualization library used for creating graphical, 3d and interactive graph. You can install plotly using below command pip install plotly Then you can import it in Jupyter notebook as below. import plotly.express as pex Let us use the famous iris dataset to create the … Continue reading How to Create 3d Interactive Graph using Plotly
Though we have an obvious method named, scatterplot, provided by seaborn to draw a scatterplot, seaborn provides other methods as well to draw scatter plot. One of the other method is regplot. However when we create scatter plots using seaborn's regplot method, it will introduce a regression line in the plot as regplot is based … Continue reading Scatter Plot using Regplot Function of Seaborn
If you have to plot your data in a graphical format smartly so that the stakeholders can understand the insight clearly and effectively then you may like to explore Seaborn. Data visualization is the presentation of data in a visual or graphical manner. With the help of data visualization, decision makers can understand difficult concepts … Continue reading Data Visualization using Scatter Plot and Seaborn