Overview  

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 On-Demand course, 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.   

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

 Who should take this course

This book is for data analysts or aspiring data scientists who want to learn more about data mining with Python. A rudimentary knowledge of Python and its libraries would be useful. 

 What you will learn from this course 

• 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

Code Bundle:

Get the code used in the course from GitHub