Watch this 10-hour tutorial on Data Mining! Simply put, data mining is used to turn raw data into meaningful information. To keep up with the ever-evolving aspects of data and its domains, data handling and analysis has become crucial to understanding the information that comes attached to it, and that is exactly why data science has come such a long way, in which data mining is considered to be one of the crucial methods to identify patterns and trends in huge datasets.
Great Learning brings you this beginner-friendly tutorial on Data Mining to take you from the starting point through the finishing point of everything you need to know about this domain and getting started on the journey to master it. This video starts off with an introduction to Python, followed by understanding a variety of Python libraries. Then we look at the concepts of anomaly or outlier detection. Following this, we will understand Machine Learning in detail and cluster analysis with K-means. Finally, we look at regression analysis in data mining! This video teaches Data Mining and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
- 0:00:00 Introduction
- 0:02:21 Agenda
- 04:46 Module 1: Basics of Python
- 0:23:39 Instaling Python
- 0:37:16 Variables and Operators in Python
- 0:59:54 Data Types in Python
- 1:29:51 Conditional and Looping Flow Control Statements in Python
- 1:48:56 Introduction to Python library
- 1:56:54 Numerical Computation with Numpy
- 2:11:42 Functions in Python
- 3:34:33 Data Wrangling with Pandas
- 4:49:14 Data Visualization with Python: Seaborn & Matplotlib
- 5:48:53 Anomaly or Outlier Detection
- 7:04:00 Introduction to Machine Learning
- 7:26:22 Cluster Analysis with K-means
- 8:07:51 Regression Analysis in Data Mining
- 9:16:19 Logistic Regression
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