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AI: Data Mining with Python

This course will give you hands-on experience with the popular Python data mining algorithms

Python is a dynamic programming language used in a wide range of domains by programmers who find it simple yet powerful. In today’s world, everyone wants to gain insights from the deluge of data coming their way. Data mining provides a way of finding these insights, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis. Python has become the language of choice for data scientists for data analysis, visualization, and machine learning.

In this course, you will learn:

  • Understand the basic data mining concepts to implement efficient models using Python
  • Know how to use Python libraries and mathematical toolkits such as numpy, pandas, matplotlib, and sci-kit learn
  • Build your first application that makes predictions from data and see how to evaluate the regression model
  • Analyze and implement Logistic Regression and the KNN model
  • Dive into the most effective data cleaning process to get accurate results
  • Master the classification concepts and implement the various classification algorithms

You will discover the key concepts of data mining and learn how to apply different data mining techniques to find the valuable insights hidden in real-world data. You will also tackle some notorious data mining problems to get a concrete understanding of these techniques.

We begin by introducing you to the important data mining concepts and the Python libraries used for data mining. You will understand the process of cleaning data and the steps involved in filtering out noise and ensuring that the data available can be used for accurate analysis. You will also build your first intelligent application that makes predictions from data. Then you will learn about the classification and regression techniques such as logistic regression, k-NN classifier, and SVM, and implement them in real-world scenarios such as predicting house prices and the number of TV show viewers.

By the end of this course, you will be able to apply the concepts of classification and regression using Python and implement them in a real-world setting.


Class Curriculum


  Section 3 Cleaning Data and Preprocessing Techniques
Available in days
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Bill Gates Says These Are the Jobs He Would Drop Out of College for Today

If he were to go into computer sciences today, Gates said, the area that he thought had the most potential was artificial intelligence. Gates brought up a recent victory by Google DeepMind over the top player in the world at Go, a game some predicted a computer could never master. He called it a remarkable achievement that signaled there is more to come in advancement in artificial intelligence. And he said the research being done in the field now is "profound" and on the verge of making new breakthroughs. "The ability for artificial agents to read and understand material is going to be phenomenal," says Gates. "Anything connected with that would be an exciting lifetime career."


This course is not open for enrollment.


Frequently Asked Questions


Why join this course?
Short answer - AI is fun, and it pays very well! Want to start a career in the exciting field of Deep Learning, Machine Learning, and Artificial Intelligence? This course is an excellent start. Yes, AI jobs pay a LOT more than regular programming jobs!
What if I don't know how to program?
No worries. We'll have you up and running in no time. And we'll step you through every single line of code as we go in case you get lost. If you have a familiarity with some high school mathematics, you're not going to have a problem learning this course with our help!
What devices are supported?
You can take the course from any device and any location, as long as you have an internet connection. All lectures are optimized for mobile or desktop viewing.
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

This course is not open for enrollment.