Search result for Best models for binary classification Online Courses & Certifications
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Logistic Regression in R Studio
by Start-Tech Academy- 4.4
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6 hours on-demand video
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNN...
$12.99
The Complete Machine Learning Course with Python
by Codestars by Rob Percival- 4.4
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17.5 hours on-demand video
The Complete Machine Learning Course in Python has been FULLY UPDATED for November 2019! Binary and multi-class classifications with deep learning With over 18 hours of content and more than fifty 5 star ratings, it's already the longest and best rated Machine Learning course on Udemy! Use SVM for handwriting recognition, and classification problems in general...
$17.99
IT service operations and Service Desk management
by Danil Dintsis- 4.5
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2.5 hours on-demand video
Better preparation for the professional exam. You learn and practice on creating Incident and Request models for certain types of user calls. You learn and try the MoSCoW prioritizing matrix to define requirements for a Service desk and supporting software systems. And after you learn all the previous items you become better prepared for professional ITSM intermediate level certifications....
$9.99
Artificial Intelligence #3:kNN & Bayes Classification method
by Sobhan N.- 3.5
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2 hours on-demand video
Classification methods for students and professionals. Learn k-Nearest Neighbors & Bayes Classification &code in python In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression. In this course you learn how to classify datasets by k-Nearest Neighbors Classification Method to find the correct class for data and reduce error....
$9.99
Create Mobile Apps using Intel XDK and Ionic Framework
by QScutter Tutorials- 3.4
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6 hours on-demand video
Intel XDK and Ionic form the best combination for building cross platform mobile apps. Intel provides its own cross platform emulator and also a cloud binary build. It provides the best UI for creating mobile apps....
$12.99
Modern Natural Language Processing in Python
by Martin Jocqueviel- 4.4
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6 hours on-demand video
Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab Modern Natural Language Processing course is designed for anyone who wants to grow or start a new career and gain a strong background in NLP. Build a CNN specialized in NLP for any classification task (e. Pick the best model for each NLP task...
$12.99
Machine Learning Guide: Learn Machine Learning Algorithms
by Grid Wire- 3
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1 hour on-demand video
You will learn how to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This is the best practical guide for business leaders looking to get true value from the adoption of machine learning technology....
$12.99
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Machine Learning & Data Science Masterclass in Python and R
by Denis Panjuta- 4.1
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17 hours on-demand video
Regression, Classification and much more You know when which models might come into question and how to compare them. Classification ), which are also used for real machine learning projects. Read in data and prepare it for your model Find the best hyper parameters for your model Compare models with each other:...
$11.99
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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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. Python Tools for Machine Learning Rules of Machine Learning: Best Practices for ML Engineering (optional) Explain different approaches for creating predictive models...
Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). Gradient Descent For Linear Regression Classification Classification Multiclass Classification Multiclass Classification Advice for Applying Machine Learning Advice for Applying Machine Learning Error Metrics for Skewed Classes Data For Machine Learning Mathematics Behind Large Margin Classification Advice for Applying PCA...
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