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KNN - The K Nearest Neighbour Machine Learning Algorithm - Python Scikit Learn tutorial
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👉 KNN or 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.
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 is just about KNN and it's not tied to a programming language, so any programmer or software developer can understand the same. KNN Is also the best algorithm if you want to check your programming skills
#Softwaredevelopment #Machinelearning #ArtificialIntelligence #python #software #programming #pandas #scikitlearn
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.
Here is the brief list of things which you can find in my Youtube channel
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
4. Create cross platform mobile apps using my flutter tutorial
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
6. Learn source control with my git tutorial, which is one of the most widely used decentralized source control. Learn how to create branch using git branch, merge changes using git merge, checkout a branch using git checkout and commit your changes using git commit
7. Learn about persistent nosql databases like mongodb using my mongodb tutorial as well as in memory nosql databases like redis using my redis tutorial. you'll also learn about using redis nodejs
8. Understand the concept of handling large data using my big data tutorial and using databases like apache spark
9. Learn about graph theory and graph database and how to make use of graph databases like neo4j
👉 KNN or 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.
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 is just about KNN and it's not tied to a programming language, so any programmer or software developer can understand the same. KNN Is also the best algorithm if you want to check your programming skills
#Softwaredevelopment #Machinelearning #ArtificialIntelligence #python #software #programming #pandas #scikitlearn
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.
Here is the brief list of things which you can find in my Youtube channel
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
4. Create cross platform mobile apps using my flutter tutorial
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
6. Learn source control with my git tutorial, which is one of the most widely used decentralized source control. Learn how to create branch using git branch, merge changes using git merge, checkout a branch using git checkout and commit your changes using git commit
7. Learn about persistent nosql databases like mongodb using my mongodb tutorial as well as in memory nosql databases like redis using my redis tutorial. you'll also learn about using redis nodejs
8. Understand the concept of handling large data using my big data tutorial and using databases like apache spark
9. Learn about graph theory and graph database and how to make use of graph databases like neo4j
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