Search result for Supervised learning models Online Courses & Certifications
Get Course Alerts by Email
CoreML - Master Machine Learning for iOS Apps
by App Brewery Co.- 4.4
4 hours on-demand video
Build Intelligent iOS 11 apps using Apple's Native Machine Learning API - CoreML Want a simple and easy way of implementing machine learning in your iOS apps?...
$11.99
Machine Learning Mastery (Integrated Theory+Practical HW)
by SaifAli Kheraj- 4
8 hours on-demand video
Learning Outcomes Have an in-depth understanding of the concepts of Machine Learning Be able to grasp, understand, and write machine learning code from scratch Use Builtin Libraries available to build machine learning models Be able to analyze, build, and assess models on any dataset Introduction to machine learning: Overview of supervised and unsupervised learning...
$9.99
Fundamentals of Data Science & Machine Learning with Python
by Aditya Khedkar- 4.2
5 hours on-demand video
Machine Learning Machine Learning What is Machine Learning, Supervised vs Unsupersivesd learning and All common machine learning techniques or algorithms in Python. In this section, you will learn different machine learning models from which you can train your data and find insights from it. What is Machine Learning and its types Supervised and Unsupervised machine learning models...
$12.99
Deploying Machine Learning Models
by Ilkay Altintas , Julian McAuley- 3.5
Approx. 11 hours to complete
Recommender Systems versus Other Forms of Supervised Learning Latent Factor Models (Part 1) Latent Factor Models (Part 2) Review: Introduction to Latent Factor Models Recommender Systems and Latent Factor Models Review: Implementing Latent Factor Models Best practices around deploying ML models and monitoring performance...
Mastering Unsupervised Learning with Python
by Packt Publishing- 3.6
4 hours on-demand video
By the end of this course, you will have mastered the application of Unsupervised Learning techniques and will be able to utilize them in your Data Science workflow—for instance, to extract more informative features for Supervised Learning problems. After having taken this course, you will have mastered the application of Unsupervised Learning with Python....
$12.99
Applied Machine Learning in R
by Bogdan Anastasiei- 4.5
8 hours on-demand video
So we’ll talk about supervised and unsupervised machine learning techniques, about the distinctions between prediction and inference, about the regression and classification models and, above all, about the bias-variance trade-off, a crucial issue in machine learning. After the first two introductory sections, we will get to study the supervised machine learning techniques....
$12.99
AWS SageMaker Practical for Beginners | Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.6
14.5 hours on-demand video
Machine and deep learning are the hottest topics in tech! Diverse fields have adopted ML and DL techniques, from banking to healthcare, transportation to technology. In this course, students will learn how to create AI/ML models using AWS SageMaker. Project #2: Train, test and deploy a multiple linear regression machine learning model to predict medical insurance premium....
$12.99
Related searches
Complete Data Science Training with Python for Data Analysis
by Minerva Singh- 4.2
13 hours on-demand video
You will go all the way from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning-based models using Python Implement Supervised Learning (Both In The Form Of Classification & Regression) Techniques On Real Data Evaluate The Accuracy & Generality Of Machine Learning Models...
$9.99
Learning Path: OpenCV: Real-Time Computer Vision with OpenCV
by Packt Publishing- 4.4
5.5 hours on-demand video
You’ll start by preparing your data for analysis, learn about supervised and unsupervised learning, and see how to use them. Finally, you’ll learn to implement efficient models using the popular machine learning techniques such as classification, regression, decision trees, K-nearest neighbors, boosting, and neural networks with the aid of C++ and OpenCV....
$11.99
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
Approx. 28 hours to complete
Machine learning is transforming the world around us. - build and apply linear models for classification and regression tasks; With these skills, you will be able to tackle many practical machine learning tasks. Machine Learning Applications for BigData (Optional) Supervised learning (Optional) Unsupervised learning (Optional) Business applications of the machine learning Decision Trees & Ensemble Learning...