Introduction to Machine Learning with Scikit-Learn

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

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 4 Part -1 Introduction to NumPy In this vide...

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

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 4 Part -1 Introduction to NumPy In this vide...

👉 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
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KNN Algorithm and its Evaluation using Confusion Matrix - Machine Learning in Python

👉 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 ...

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.

Splitting Training and Test Data for Machine Learning Using Python and Scikit Learn

Welcome to the video series on Introduction to Machine Learning with Scikit Learn and Python. This is Chapter -7 and in this chapter, we will talk about how ...

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.
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KNN - The K Nearest Neighbour Machine Learning Algorithm

👉 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 a...

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
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Data Normalisation for Machine Learning - Intro to M.L with Python and Scikit Learn

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...

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
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Maths behind Linear Regression and Gradient Descent - Intro to M.L with Python and Scikit Learn

Welcome to the video series on Introduction to Machine Learning with Sciki Python & Learn. This video contains Chapter - 6.2. In this chapter, I've explained...

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
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Linear Regression - Introduction to Machine Learning using Python and Scikit Learn Chapter 6 1

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 fir...

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
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Introduction to Machine Learning with Python and Scikit Learn Chapter 5 The Iris DataSet

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 5 which introduces us to Hello World DataSet...

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 tutorial - Chapter 4 2 Matplotlib

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 4 Part -2 Introduction to Matplotlib PyPlot ...

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Introduction to Machine Learning with Python and Scikit Learn Chapter 3

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 3 Which introduces us to Scikit-Learn. It Ta...

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Introduction to Machine Learning with Python and Scikit Learn : Chapter 1 2

This video contains Chapter - 1 and Chapter - 2 of this series [CHAPTER - 1] - What's the need of M.L.? Why can't we do a few things without it? [CHAPTER - 2...

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

Introduction to Machine Learning with Python & Scikit-Learn

Welcome to the video series on Introduction to Machine Learning with Scikit-Learn [CHAPTER - 0] - What is A.I., M.L. & D.L. and What's the relationship of Ma...