In this post we are going to discuss how to handle missing data from a pandas data frame. Find total number of missing data in the data frame Find number of missing data in each column in a data frame Investigate patterns in the amount of missing data in each column. Percentage of missing data…
The receiver operating characteristic area under curve is a way to measure the performance of a classification model, may be created using algorithms like Logistic Regression. ROC-AUC is basically a graph where we plot true positive rate on y-axis and false positive rate on x-axis. If a model is good the AUC will be close to 1. Area…
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 However in many cases you may like to print the confusion matrix in a format like below…
Not only human beings but also the machine learning models may get confused !! After all Artificial Intelligence mimics a human brain, isn’t it?(pun intended). Imagine yourself as a machine learning engineer and suppose you trained a machine learning classification model successfully today. After the model is trained you checked the accuracy which is 93.0%. Wow…
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: Then we need to…
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 Then you can import it in Jupyter notebook as below. Let us use the famous iris dataset to create the 3d and interactive graph Finally we need…
Apart from the methods scatterplot and regplot, seaborn also provides lmplot as another function to draw a scatterplot. However when we create scatter plots using seaborn’s lmplot, it will introduce a regression line in the plot. Let us first import libraries and load the data required to create the plot. Then lets use the below…
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…
