All Major Data Mining Techniques Explained With Examples

In this video, we will discuss and explain an in-depth overview of all major data mining techniques with real-world examples. Data mining has become a crucial component of modern businesses, and understanding the different techniques is essential for successful data analysis.
Video Walkthrough (All Major Data Mining Techniques Explained)
0:00 What is Data Mining
0:33 What is Classification in Data Mining
1:31 What is Clustering in Data Mining
2:35 What is Regression in Data Mining
4:22 What is Associate Rule Mining in Data Science
5:40 What is Text Mining in Machine Learning
6:17 What is Time Series Analysis in Data Mining
7:26 What are Decision Trees in Data Mining
8:49 What are Neural Networks in Machine Learning
10:15 What is Collaborative Filtering in Data Mining
11:25 What is Dimensionality Reduction in Data Mining
We'll start with an introduction to data mining and explain the importance of data preparation. Then we'll dive into the major data mining techniques such as classification, clustering, regression, association rule mining, time series analysis, neural network and text mining. We'll explain each technique in detail and provide examples to illustrate their practical applications. By the end of this video, you'll have a clear understanding of the different data mining techniques and how to use them to gain valuable insights from your data.
Whether you're a beginner or an experienced data analyst, this video is perfect for you to understand various data mining techniques. So, sit back, relax, and join us on this journey to master data mining techniques. Don't forget to subscribe to our channel for more videos on data analysis, machine learning, and AI.
Recommended Videos,
What is Data Science Project Life Cycle Explained Step by Step
• What is Data Science P...
What is Pseudocode Explained | How to Write Pseudocode Algorithm
• What is Pseudocode Exp...
Difference Between AI vs ML vs DL vs Data Science Explained
• Difference Between AI ...
Supervised vs Unsupervised vs Reinforcement Learning | ML Types Explained
• Supervised vs Unsuperv...
All Machine Learning Models Explained in 5 Minutes
• All Machine Learning M...
Like my content on the data mining techniques? Be sure to smash that like button and hit Subscribe to get the latest updates!
Let's get social!
/ brandlitic
/ brandlitic
/ brandlitic
#datamining #datascience #programming #machinelearning #deeplearning #softwareengineer #artificialintelligence

[@adeshgaurav1053]

Very nice video sort and simple essential for last minute learners
thank you

[@learnwithwhiteboard]

Glad it was helpful, buddy!

[@thebrandmarketingpodcast3945]

amazing summary of data mining techniques. Kudos!

[@learnwithwhiteboard]

Thank you 🙏

[@higiniofuentes2551]

Thank you for this very useful video!

[@learnwithwhiteboard]

Glad it was helpful, my friend. I’ll try my best and share more such good quality videos

[@besmart1628]

Really very awesome.....very much useful video....thank you sir🎉🎉

[@learnwithwhiteboard]

Glad it was helpful! I'll try my best and share more such quality content

[@joergstrong]

Very good and informative content! subscribed!

[@learnwithwhiteboard]

Thanks and welcome, my friend!

[@tuttejkumar6713]

very informative video sir ,thanks a lot

[@learnwithwhiteboard]

Most welcome, my friend!

[@Pallavi604]

can you please make video on mining techniques..
Data Mining Techniques: Predictive Modeling, Database Segmentation, Link Analysis, Deviation Detection in details.
we have these mining techniques in syllabus of MSC but none of one was discussed in video.and i am unable to find even single video on detection detection method!

[@EricPham-gr8pg]

Signals before and after events if collected could help detect pattern and geography of related events..average and high and low over time domains

[@akshatbinjwa1017]

Awesome brother, just keep making more videos like these 🎈

[@learnwithwhiteboard]

Thanks! Will do buddy! Please feel free to suggest more such topics.

[@mansinemiwal4434]

Great content explaining all data mining techniques with examples

[@learnwithwhiteboard]

Glad it was helpful!

[@nileshmohanty7923]

Thanks brother 👍🏼

[@learnwithwhiteboard]

Any time brother! ❤️👍

[@kingofavalon9109]

worth full video

[@learnwithwhiteboard]

Thank you for kind appreciation and support ❤️👍

[@includestdio.h8492]

Thank u so much!

[@learnwithwhiteboard]

Glad it was helpful!

[@arifmoazy1371]

thanks for the awesome content

[@learnwithwhiteboard]

Glad you enjoy it! I'll try my best and share more such quality content ❤

[@kumkumbinjwa1354]

Very nice very nice

[@learnwithwhiteboard]

Thanks a lot! 🙏❤️

[@manvi36]

I want its notes how to get

[@learnwithwhiteboard]

Hi Manvi, unfortunately, I don't have any ebooks that I sell currently. However, I do write blogs on medium.com and for this video, here's the post link medium.com/@learnwithwhiteboard_digest/all-major-data-mining-techniques-explained-with-examples-1f63d61481e4

[@fido9745]

This is too much for me to wrap my head around for passive listening. Too much variables and math. Maybe I will try to listen more closely so I could grasp each technique you're referring to.

[@fido9745]

I take it back. It was my state of mind during my first listen that led me to give such critical feedback. Upon careful listening, you offer listed data mining techniques and then begin to describe their application in real world examples.