
PACKT CREATE YOUR OWN SOPHISTICATED MODEL WITH NEURAL NETWORKS TUTORIAL
General:Training
Size: 336.79 MB
Description
University of OXford & University of camBRiDGE
is a collective term for characteristics that the two institutions share
Create Your Own Sophisticated Model with Neural Networks
Published by: Packt
Mar 2018
Lecture Size: 08x50
Length: +1 hrs
Lecture Date: 10/2018
Lecture Link: https://www.safaribooksonline.com/
https://www.packtpub.com: | A one-stop solution to learning complex models with Neural
| Networks and understanding the basics of Natural Language
| Processing
|
| About This Video
|
| Visualize a decision tree with pydot
| Implement random forest regression
| Classify documents with Naive Bayes
| Create a Simple Estimator
|
| In Detail
|
| Scikit-learn has evolved as a robust library for Machine Learning
| applications in Python with support for a wide range of Supervised
| and Unsupervised Learning Algorithms
|
| With this course you will learn the Decision Tree algorithms and
| Ensemble Models to build Random Forest, Regression Analysis. You
| will focus on Decision Trees and Ensemble Algorithms. Moving
| forward, you learn to use scikit-learn to classify text and
| Multiclass with scikit-learn. You will explore various algorithms
| for classification. You will also look at Naive Bayes model and
| Label Propagation. Finally, you'll use Neural Networks using
| different Classifiers and create your own Simple Estimator
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