Let's Build Classifiers - Decision Tree, Random Forest and Gradient Boosting
7.4 هزار بار بازدید -
5 سال پیش
-
In this video, you will
In this video, you will learn how to build three different classifiers step by step.
Procedure + Source Codes here - https://www.datarmatics.com/data-scie...
We cover the following:
How to import csv data
Converting categorical data to binary
Perform Classification using Decision Tree Classifier
Using Random Forest Classifier
The Using Gradient Boosting Classifier
How to build a simple Neural Network - How to Build a Simple Neural Network ...
To Learn Python: www.kindsonthegenius.com/python
Machine Learning 101: https://www.kindsonthegenius.com/2019...
Learn R for Data Science - R Tutorial for Data Science and Machi...
Subscribe Kindson The Tech Pro Youtube: https://bit.ly/2PpJd8Q
Join my group ICS on Facebook: https://bit.ly/2UULiQj
Follow me on Instagram - Instagram: kindsonm
Connect with me on LinkedIn: LinkedIn: kindson
Follow me on Twitter: Twitter: KindsonM
Learn about me: http://www.kindsonthegenius.com
This video explains How to Build Classifiers in Python(Step by Step) with Jupyter Notebook
Procedure + Source Codes here - https://www.datarmatics.com/data-scie...
We cover the following:
How to import csv data
Converting categorical data to binary
Perform Classification using Decision Tree Classifier
Using Random Forest Classifier
The Using Gradient Boosting Classifier
How to build a simple Neural Network - How to Build a Simple Neural Network ...
To Learn Python: www.kindsonthegenius.com/python
Machine Learning 101: https://www.kindsonthegenius.com/2019...
Learn R for Data Science - R Tutorial for Data Science and Machi...
Subscribe Kindson The Tech Pro Youtube: https://bit.ly/2PpJd8Q
Join my group ICS on Facebook: https://bit.ly/2UULiQj
Follow me on Instagram - Instagram: kindsonm
Connect with me on LinkedIn: LinkedIn: kindson
Follow me on Twitter: Twitter: KindsonM
Learn about me: http://www.kindsonthegenius.com
This video explains How to Build Classifiers in Python(Step by Step) with Jupyter Notebook
5 سال پیش
در تاریخ 1398/07/05 منتشر شده
است.
7,450
بـار بازدید شده