Linear Regression - Machine Learning using Python and Scikit Learn tutorial Chapter 6 1
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Welcome to the video series on Introduction to Machine Learning with Scikit-Learn.
This is a video series on scikit learn tutorial. In this series I'm talking about using scikit learn machine learning for our implementations
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
This video describes what is Linear Regression and how we can use the same using Scikit-learn. 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-Learn
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Hi I am Deepak k Gupta (nickname - Daksh and Preferred). This channel is for budding as well as experienced software developers who are willing to explore the awesome world of programming.
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1. C++ programming (latest specification C++17 and C++20 ), create high performance system applications using this one.
2. Create microservices designed for multiple CPU cores using my golang tutorial
3. Create web applications as well as backend application using my Javascript tutorial and node js
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5. Learn Python Programming, the language in demand and learn to do effective ways of doing Data Science and Machine Learning. My python tutorials includes but not limited to supervised and unsupervised learning, logistic regression, gradient descent. You will also be able to create neural networks using my Pytorch Tutorial
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En esta página del sitio puede ver el video en línea Linear Regression - Machine Learning using Python and Scikit Learn tutorial Chapter 6 1 de Duración hora minuto segunda en buena calidad , que subió el usuario The Theory Of Code 26 julio 2019, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 613 veces y le gustó 24 a los espectadores. Disfruta viendo!
