Skip to main content

IoT Elective(Machine Learning) Algorithm


Welcome to the IoTIAN Innovator blog

Lear Different Machine Learning Algorithm(IoT Elective) using Python. Here you can learn the different algorithm of ML which are following:


  1.  Linear Regression
  2. Gradient Descent
  3.  Logistic Regression
  4. Logistic with Gradient
  5.  Logistic Regression with Multivariate
  6.  Linear Regression Using Scikit
  7.  Logistic Regression Using SciKit
  8.  SVM with manually code
  9.  SVM using SciKit
  10. SVM Using SciKit on IRIS Data
  11. Logistic Using SciKit on IRSI Data


Click on below button to download the all Python Program from the below button
https://digitallearn.online/RAZlGIZ




Comments

  1. this, help me a lot thanks sir for that

    ReplyDelete
  2. I read the post and I got it all right and helpful. And share some of that ...
    iot course in noida

    ReplyDelete

Post a Comment

Popular posts from this blog

How to get an Internship in IoT Industries and startups.

Hello IoTIANS, In this blog post we are going to give you a brief overview of  how to get an internship?  So if you are new with this word ' INTERNSHIP ' then I suggest you please read this my previous article which is my experience of the internship.👇 https://iotianinnovator.blogspot.com/p/blog-page.html So, now come on the point which is how to get an internship in the IoT field. According to me here are some tips which help you to get an internship easily in any company or startups. 1. First of all, the main and most important thing is your communication should be good either it's in English or Hindi. Mainly the more common language is English so it should be prepared in English instead of Hindi. 2. Your answer should be genuine or True like:      (i) if you have done your project in a team then give the credit to all involved team members and mention him.           (ii)If you know about any hardware or an...

PRE-ORDER: IoT-A(Masterboard)

Beta Version of PRE-ORDER IoT-A(Masterboard) A single device solution to monitoring and automation:  Features: Convenient for data monitoring and handling. Compatible with major IoT device for remote control and automation. Completely Open Source Cost Effective. One masterboard for different IoT Application. Controllable by web and android both