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Introduction to Machine Learning with Scikit-Learn

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👉 KNN Algorithm and Evaluating the same with Confusion Matrix : Machine Learning in Python using Scikit Learn 👆 This video explains how the KNN or K Nearest Neighbour Algorithm works and how we can evaluate the performance using Confusion Matrix using Scikit Learn Matrix Machine, Confusion Matrix, Introduction To Machine Learning, Python, Confused, It Works, Youtube, Nailed It, Youtubers

Confusion Matrix

Introduction To Machine Learning

👉 KNN Algorithm and Evaluating the same with Confusion Matrix : Machine Learning in Python using Scikit Learn 👆 This video explains how the KNN or K Nearest Neighbour Algorithm works and how we can evaluate the performance using Confusion Matrix using Scikit Learn

Machine learning Algorithm selection faces a unique catch22 situation where you get the data to train but need unseen(new)data to test the algorithm which is available only with production. To avoid this situation and understand the performance of the selected Machine Learning algorithm, we need to generate TEST DATASET from the available DATA Set. Faces, Train, Unique, The Face, Face, Strollers

Machine learning Algorithm selection faces a unique catch22 situation where you get the data to train but need unseen(new)data to test the algorithm which is available only with production. To avoid this situation and understand the performance of the selected Machine Learning algorithm, we need to generate TEST DATASET from the available DATA Set.

KNN of K Nearest Neighbor is a Supervise Learning Algorithm which is mainly used in the classification of data. In this video, I've explained what is KNN and how it works. I've explained the same with the help of a problem statement. Hope this video helps you in understanding KNN and how it works. Supervised Machine Learning, Problem Statement, Programming Languages, Software Development, The Help

Supervised Machine Learning

Problem Statement

Programming Languages

Software Development

KNN of K Nearest Neighbor is a Supervise Learning Algorithm which is mainly used in the classification of data. In this video, I've explained what is KNN and how it works. I've explained the same with the help of a problem statement. Hope this video helps you in understanding KNN and how it works.

Welcome to the video series on Introduction to Machine Learning with Sciki Python & Learn. This video contains Chapter - 6.3. In this chapter, I've explained the idea of data normalization and why it's important to do the same Though explained in the context of Linear Regression, Data Normalization can be applied to almost all machine learning algorithms. It's a useful concept and helps data engineers to deal with large data sets Linear Regression, Engineers, Coding, Concept, How To Apply

Linear Regression

Welcome to the video series on Introduction to Machine Learning with Sciki Python & Learn. This video contains Chapter - 6.3. In this chapter, I've explained the idea of data normalization and why it's important to do the same Though explained in the context of Linear Regression, Data Normalization can be applied to almost all machine learning algorithms. It's a useful concept and helps data engineers to deal with large data sets

This video contains Chapter - 6.2. In this chapter, I’ve explained the detailed maths behind Linear Regression and how Gradient Descent Algorithm works. In this video, we’ll be doing everything in python which is internally taken care by scikit learn. This is only for demonstration purpose. We should use scikit learn even when we know everything about it because it is fast and takes cares of training the model. Hope it helps you to learn about how Linear Regression actually works Do Everything, Maths, Purpose, Training, Model

This video contains Chapter - 6.2. In this chapter, I’ve explained the detailed maths behind Linear Regression and how Gradient Descent Algorithm works. In this video, we’ll be doing everything in python which is internally taken care by scikit learn. This is only for demonstration purpose. We should use scikit learn even when we know everything about it because it is fast and takes cares of training the model. Hope it helps you to learn about how Linear Regression actually works

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 6.1. In this chapter, I've explained our first Machine Learning algorithm called Linear Regression using just five data points for easy understanding In context of this algorithm, I've also explained the unified machine learning algorithm and how generic interface can be used for almost all ML algorithms using scikit-Lea Ml Algorithms, Easy

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 6.1. In this chapter, I've explained our first Machine Learning algorithm called Linear Regression using just five data points for easy understanding In context of this algorithm, I've also explained the unified machine learning algorithm and how generic interface can be used for almost all ML algorithms using scikit-Lea

This video contains Chapter - 5 which introduces us to Hello World DataSet from Scikit Learn called Iris Dataset. In this video, I've explained how the dataset shall look like when we want to use the same with Machine Learning algorithms provided by Scikit Learn. I've used the Iris DataSet provided by Scikit Learn for the same World Data, Iris, Youtube Movies, Bearded Iris, Irises

This video contains Chapter - 5 which introduces us to Hello World DataSet from Scikit Learn called Iris Dataset. In this video, I've explained how the dataset shall look like when we want to use the same with Machine Learning algorithms provided by Scikit Learn. I've used the Iris DataSet provided by Scikit Learn for the same

this video, I've explained how we can use Matplotlib Pyplot to visualize the data and why it's necessary to do the same Data Science

this video, I've explained how we can use Matplotlib Pyplot to visualize the data and why it's necessary to do the same

Introduction to Machine Learning with Python and Scikit Learn Chapter 4 1 Intro to NumPy

Introduction to Machine Learning with Python and Scikit Learn Chapter 4 1 Intro to NumPy

Chapter 3, Facebook, Twitter, Instagram

Science And Technology

Science And Technology

Chapter-[0]: A.I, M.L & Mathematics Mathematics, Relationship, Math, Relationships

Chapter-[0]: A.I, M.L & Mathematics