MultiClass Logistic Regression, Python Machine Learning, Detecting multi outcome logistic regression

Published: 14 November 2020
on channel: Santo
11,668
252

In this #PythonMachineLearning series, #MultiClassLogisticRegression is explained step by step using #IRISDataset. Logistic regression is applied on iris dataset and the species of iris flower is detected using its #PetalLength, #PetalWidth, #SepalLength, #SepalWidth.

Link to the code:
https://github.com/kjsk22/MultiClass-...

Link to Iris dataset used:
https://www.kaggle.com/saurabh00007/i...

Link to Machine Learning playlist:
   • Machine Learning with Python || Python Mac...  

Link to Chatbot playlist:
   • Build your own Chatbots || Conversational ...  

Link to Python playlist:
   • Python Basics Tutorial || Learn Python Pro...  

Link to Pandas playlist:
   • Python Pandas Tutorials || Python Pandas P...  

Link to NumPy playlist:
   • NumPy Playlist || NumPy Tutorials || Learn...  

You can connect with me here:
  / atomai.online  
  / atomai_online  


On this page of the site you can watch the video online MultiClass Logistic Regression, Python Machine Learning, Detecting multi outcome logistic regression with a duration of hours minute second in good quality, which was uploaded by the user Santo 14 November 2020, share the link with friends and acquaintances, this video has already been watched 11,668 times on youtube and it was liked by 252 viewers. Enjoy your viewing!