Search result for Supervised learning models Online Courses & Certifications
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Supervised Machine Learning for beginners
by Ro Science- 4.7
5 hours on-demand video
kick start your machine learning journey with supervised learning for beginners, python, jupyter and scikit-learn! And last, we actually train and evaluate several models based on the most common machine learning algorithms for supervised learning such as K-nearest neighbors, logistic regression, decision trees and random forests. machine learning supervised learning...
$9.99
Machine Learning Bootcamp™: Hand-On Python in Data Science
by Apex Education- 3
17.5 hours on-demand video
Learn Complete hands-on guide to implementing Supervised Machine Learning Algorithm in Python including ANN, CNN & RNN This course focuses on one of the main branches of Machine Learning that is Supervised Learning in Python....
$12.99
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. -Describe and use logistic regression models This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. Implementing Support Vector Machines Kernel Models...
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. -Describe and use logistic regression models This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. Implementing Support Vector Machines Kernel Models...
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 14 hours to complete
Explain the use of linear and logistic regression in supervised learning applications Employ evaluation metrics to select models for production use Explain the use of tree-based algorithms in supervised learning applications Explain the use of Neural Networks in supervised learning applications Linear Models Generalized Linear Models Building Machine Learning and Deep Learning Models...
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
Approx. 8 hours to complete
This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks....
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
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Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
Approx. 13 hours to complete
In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. Learning Outcomes: Introduction to Deep Learning Supervised Learning Models Supervised Learning Models (Cont'd) Unsupervised Deep Learning Models Unsupervised Deep Learning Models (Cont'd) and scaling...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
Approx. 17 hours to complete
Supervised learning Unsupervised learning Machine Learning for Investment Decisions: A Brief Guided Tour Machine learning techniques for robust estimation of factor models Introducing Factor Models Typology of factor models Using factor models in portfolio construction and analysis Learn the principles of supervised and unsupervised machine learning techniques to financial data sets...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
Approx. 34 hours to complete
Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e. Module 2: Supervised Machine Learning - Part 1 Introduction to Supervised Machine Learning Module 4: Supervised Machine Learning - Part 2...