Python Advanced- scatter plot with MatplotLib

Have you tried drawing your first pyplot? If not then please see my previous post about this.
Let's move ahead and learn about the matplotlib scatter plot

Before plotting a plot we need data to plot. So here we are taking an example of cars data in csv format which you can download here cars data
If you face any issue while downloading the file, comment me your email so that I can share the same directly.

Since the cars data is in csv format we need to first read the data with the help of pandas library as below-

The data will be looked look as below-

Since data is too long we need solid information from the data to plot so run Correlation & then run Covariance to find the most correlated variable to MPG-

Final cleaning of the cars data-

See now we have info to plot then let's plot it as given below-

Looks very cool right. Let's plot another one -

Key Note-Boxplots are great when you have a numeric column that you want to compare across different categories. When you want to visualize two numeric columns, scatter plots are ideal.

Please try above plotting in your notebook and comment if you face any issue.

Comments

Machine Learning-Decision Trees and Random Forests

Another post starts with you beautiful people! I hope after reading my previous post about Linear and Logistic Regression your confidence level is up and you are now ready to move one step ahead in Machine Learning arena. In this post we will be going over Decision Trees and Random Forests . In order for you to understand this exercise completely there is some required reading. I suggests you to please read following blog post before going further- A Must Read! After reading the blog post you should have a basic layman's (or laywoman!) understanding of how decision trees and random forests work. A quick intro is as below- Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features . For instance, in the example below, decision trees learn from data to approximate a sin...

Machine Learning-Cross Validation & ROC curve

Another post starts with you beautiful people! Hope you enjoyed my previous post about improving your model performance by confusion metrix . Today we will continue our performance improvement journey and will learn about Cross Validation (k-fold cross validation) & ROC in Machine Learning. A common practice in data science competitions is to iterate over various models to find a better performing model. However, it becomes difficult to distinguish whether this improvement in score is coming because we are capturing the relationship better or we are just over-fitting the data. To find the right answer of this question, we use cross validation technique. This method helps us to achieve more generalized relationships. What is Cross Validation? Cross Validation is a technique which involves reserving a particular sample of a data set on which we do not train the model. Later, we test the model on this sample before finalizing the model. Here are the steps involved in...

Exploring The File Import

Another post starts with you beautiful people! Today we will explore various file import options in Python which I learned from a great learning site- DataCamp . In order to import data into Python, we should first have an idea of what files are in our working directory. We will learn step by step examples as given below- Importing entire text files- In this exercise, we'll be working with the file mobydick.txt [ download here ] It is a text file that contains the opening sentences of Moby Dick, one of the great American novels! Here you'll get experience opening a text file, printing its contents to the shell and, finally, closing it- # Open a file: file file = open('mobydick.txt', mode='r') # Print it print(file.read()) # Check whether file is closed print(file.closed) # Close file file.close() # Check whether file is closed print(file.closed) Importing text files line by line- For large files, we may not want to print all of th...

Learn Data Science using Python

Search This Blog