How to build Simple Classifier using Scikit-learn | Machine Learning Tutorial | Codegnan

Dealing the importance of data and How we can build a simple classifier with advanced machine learning library Sci-kit Learn

Download the data set here: https://bit.ly/SimpleClassifierDataSet
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Source code link : https://drive.google.com/drive/folders/1e3KJmrVcKdLlJfWywjzmzq2k03ZU7kem?usp=sharing

Agenda of this session:

Building a simple Classifier using important Python packages for Machine Learning
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Here are the Timestamps to skip through the whole video

00:16 Introduction
01:25 Machine Learning and its Importance
04:48 Machine Learning Processing is all about demonstrating data

06:32 Types of learning - [Supervised, Unsupervised, Reinforcement]
07:28 How we relate the different type of data into classification model
08:55 Difference between Supervised task drive and Unsupervised Data Driven
10:16 What is Classification?
12:15 How to build a Classifier?
22:11 Key Points when you come across Machine Learning
23:21 Basic Design Principles of Scikit-Learn
21:07 Know about Confusion Matrix
33:44 Explaining about Decision Tree
35:40 Two types of popular Decision Model Trees
37:03 Sample Tree Representation
40:35 Dataset: https://bit.ly/SimpleClassifierDataSet
41:43 Upload the dataset
42:28 Importing essestial packages
45:15 Reading the data set
47:23 Data Pre-Procession steps starts from here
01:10:25 Final Graph Plotting
01:19:40 Prediction Values
01:22:07 What is Data Mining

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