11-04-2023, 12:10 AM
Random Forest Algorithm using Python
Learn Random Forest Algorithm using Python
New
Rating: 0.0 out of 5
(0 ratings)
851 students
1.5 hours on-demand video
Description
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
hrough this training we are going to learn and apply how the random forest algorithm works and several other important things about it.
The course includes the following;
1) Extract the Data to the platform.
2) Apply data Transformation.
3) Bifurcate DatTa into Training and Testing Data set.
4) Built Random Forest Model on Training Data set.
5) Predict using Testing Data set.
6) Validate the Model Performance.
7) Improve the model Performance using Random Forest.
8) Predict and Validate Performance of Model.
https://www.udemy.com/course/random-forest-algorithm-using-python/?couponCode=EDUCBATARGETED1
Enjoy!
Learn Random Forest Algorithm using Python
New
Rating: 0.0 out of 5
(0 ratings)
851 students
1.5 hours on-demand video
Description
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
hrough this training we are going to learn and apply how the random forest algorithm works and several other important things about it.
The course includes the following;
1) Extract the Data to the platform.
2) Apply data Transformation.
3) Bifurcate DatTa into Training and Testing Data set.
4) Built Random Forest Model on Training Data set.
5) Predict using Testing Data set.
6) Validate the Model Performance.
7) Improve the model Performance using Random Forest.
8) Predict and Validate Performance of Model.
https://www.udemy.com/course/random-forest-algorithm-using-python/?couponCode=EDUCBATARGETED1
Enjoy!