Search result for Classification algorithms Online Courses & Certifications
Get Course Alerts by Email
Machine Learning Classification Algorithms using MATLAB
by Nouman Azam- 3.9
7 hours on-demand video
Learn to Implement Classification Algorithms In One of the Most Power Tool used by Scientists and Engineer We will implement some of the most commonly used classification algorithms such as K-Nearest Neighbor, Naive Bayes, Discriminant Analysis, Decision Tress, Support Vector Machines, Error Correcting Ouput Codes and Ensembles. You can confidently implement machine learning algorithms using MATLAB....
$15.99
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
Classification using Decision Trees and k-NN Classification in scikit-learn Classification using k-nearest neighbours Understanding Classification with Decision Trees and k-NN Loss for Classification From Regression to Classification Regression-based Classification Classification assessment...
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
5 Weeks
We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests. Supervised learning algorithms, including classification and regression...
$99
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering....
Machine Learning and AI: Support Vector Machines in Python
by Lazy Programmer Inc.- 4.6
9 hours on-demand video
Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression Multiclass Classification My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch...
$16.99
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
Approx. 22 hours to complete
Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Adding all of these algorithms to your skillset is crucial for selecting the best tool for the job. Classification and Regression Tree (CART) Decision Trees Compared to Other Algorithms...
Deep Learning for Computer Vision with Tensor Flow and Keras
by CARLOS QUIROS- 3.8
12 hours on-demand video
This course is focused in the application of Deep Learning for image classification and object detection. We will also enter in the study of Convolutional Neural Networks for image classification reviewing its principal components and different robust architectures such as VGG-16, ResNet and Inception....
$17.99
Related searches
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
5 Weeks
We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests. Supervised learning algorithms, including classification and regression...
$99
End to End Data Science Practicum with Knime
by Prof. Dr. Ĺžadi Evren Ĺžeker- 0.0
9 hours on-demand video
Machine Learning: we cover the classification algorithms such as Naive Bayes, Decision Trees, Logistic Regression or K-NN. We also cover prediction / regression algorithms like linear regression, polynomial regression or decision tree regression....
$14.99
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
Approx. 9 hours to complete
Or how do we decide which of two regression algorithms is better? Classification Diagnostics: Accuracy and Error Classification Diagnostics: Precision and Recall Review: Classification Diagnostics...