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In this video, we begin with classification. As an introduction we look at Edgar Andersons Iris dataset from 1936. We use this data ...

In this video, we explore classification trees using the Iris dataset in Orange. We use the Select Columns widget to examine the ...

How to visualize logistic regression model, build classification workflow for text and predict tale type of unclassified tales. License: ...

In this video, we explore interpretability in classification trees take a look at large trees using the Pythagorean Tree viewer.

In this video, we examine how classification trees work with the Iris dataset, assess model accuracy using the Predictions widget, ...

How to use embeddings for image classification and what can misclassifications tell us. Images kindly provided by: The Bouq at ...

Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 1: Classification boundaries ...

In this tutorial we will look at word classification. We will demonstrate step-by-step how to build a classifier to predict food types.

This video will help you to build decision tree with the help of weka.

In our last video on k-means we use box plots and geo maps to interpret more complex datasets. This video is a part of ...

In this video, we look at logistic regression, one of the simplest classification technique there is. We compare it to decision trees ...

More Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 4: Document classification ...

There are many other modeling techniques we can try on classification data. One of the most popular is logistic regression, which ...

Dr. R.V. Argiddi Professor Department of Computer Science and Engineering Walchand Institute of Technology,Solapur.

Dr. Mr. R. V. Argiddi Professor, Head Department of Computer Science and Engineering Walchand Institute of Technology, ...

In this video, we introduce k-Means, a clustering algorithm that won't eat up all your laptop's computing power, making it, in some ...

In this video, we use silhouette scores together with k-Means to evaluate which k works best in each specific cluster-finding ...

I will explain 9 common data mining problem types. The information in this presentation is mostly based on the great book called ...

In this video, we explore the world of Neural Networks. We walk through the basics, starting with logistic regression and its linear ...

Faculty: P.S.R. Patnaik Course: Machine Learning Department: Computer Science and Engineering.