Search result for Classification algorithms Online Courses & Certifications
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Deep Learning for Beginners in Python: Work On 12+ Projects
by Vijay Gadhave- 4.2
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14.5 hours on-demand video
you can start the coding with Zero Installation, whether you’re an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms Project 1: Multiclass image classification with ANN Project 2: Binary Data Classification with ANN Project 4: Binary Image Classification with CNN Project 9: IMDB Review Classification with RNN - LSTM...
$13.99
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
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Approx. 8 hours to complete
Week 3: Classification Supervised Learning: Classification Review: Classification and K-Nearest Neighbors Classification Classification in Python Review: Classification and Training More on Classification...
Python Machine Learning Crash Course for Beginners
by AI Sciences- 4.3
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10 hours on-demand video
Complete Machine Learning step-by-step Course, Mastering Regression, Classification and Clustering [2020] This course, however, cuts through the math and makes it easy for you to learn how machine learning algorithms work. Regression algorithms Classification algorithms Clustering algorithms...
$12.99
Introduction to Analytics Modeling
by Joel Sokol- 0.0
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16 Weeks
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights. Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. You will learn how to use statistical models and machine learning as well as models for:...
$825
Machine Learning with Remote Sensing Data
by Spatial eLearning- 4.1
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1.5 hours on-demand video
Do you want to master machine learning algorithms to predict Earth Observation big data? Then you will apply various machine learning algorithms including linear regression, clustering, CART, and random forests....
$11.99
Machine Learning, incl. Deep Learning, with R
by Bert Gollnick- 4
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15.5 hours on-demand video
We will cover all fields of Machine Learning: Regression and Classification techniques, Clustering, Association Rules, Reinforcement Learning, and, possibly most importantly, Deep Learning for Regression, Classification, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks, . Deep Learning models with Keras for Regression and Classification tasks Convolutional Neural Networks with Keras for image classification Classification Models (e....
$11.99
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 this Course you learn k-Nearest Neighbors & Naive Bayes Classification Methods. 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
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Machine Learning 2020: Complete Maths for Machine Learning
by Jitesh Khurkhuriya- 4.1
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2.5 hours on-demand video
Almost all the Machine Learning algorithms use various functions for loss measurement or optimization. I will also explain with an example, how machine learning algorithms use calculus for optimization. Probability plays an important role during classification type of machine learning problems. Conditional probability also helps in classification of the dependent variable or prediction of a class....
$11.99
Deep Learning in Practice II: Transfer Learning Projects
by Anis Koubaa- 0.0
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3 hours on-demand video
In this course, I demonstrate how to conduct training of a deep learning classification model using transfer learning. The same code can be easily adapted and reused for any classification project in an automated way....
$12.99
Data-driven Astronomy
by Tara Murphy , Simon Murphy- 4.8
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Approx. 24 hours to complete
In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. - How to work out the time complexity of algorithms Week 6: Learning from data: classification...
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