Search result for Feature selection Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 86 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Feature Selection for Machine Learning
by Soledad Galli- 4.7
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
Welcome to Feature Selection for Machine Learning, the most comprehensive course on feature selection available online. You will learn a huge variety of feature selection procedures used worldwide in different organizations and in data science competitions, to select the most predictive features. How to leverage the power of existing Python libraries for feature selection...
$12.99
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
Feature Relationships PCA for Feature Relationships Feature Correlation Feature Engineering and Selection Introduction to Feature Engineering Common Feature Improvements Feature Scaling Converting Feature Types A Review of Feature Importance Introduction to Feature Selection Feature Engineering Lab Feature Selection Lab Feature Engineering Concepts Feature Selection in Linear Regression Feature Selection Lab Results...
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Week 2: Feature Engineering, Transformation, and Selection Week 2: Feature Engineering, Transformation and Selection Feature Engineering Techniques Feature Crosses Feature Spaces Feature Selection Feature Engineering and Preprocessing Feature Transformation Feature Selection Feature Stores Implement feature engineering, transformation, and selection with TensorFlow Extended...
Efficient Machine Learning
by Usama Albaghdady- 3.8
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
Become an Advanced Machine Learning Specialist, Learn Preprocessing, Feature Engineering, Model Evaluation and Selection Manual Feature Engineering Automatic Feature Engineering Feature Selection...
$12.99
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 months
lesson 1 Supervised Learning Machine Learning is the ROX Decision Trees Regression and Classification Neural Networks Instance-Based Learning Ensemble B&B Kernel Methods and Support Vector Machines (SVM)s Computational Learning Theory VC Dimensions Bayesian Learning Bayesian Inference lesson 2 Unsupervised Learning Randomized optimization Clustering Feature Selection Feature Transformation Information Theory lesson 3 Reinforcement Learning Markov Decision Processes Reinforcement Learning Game Theory...
Free
Machine Learning Optimization Using Genetic Algorithm
by Curiosity for Data Science- 4.5
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
Learn how to optimize Machine Learning algorithms' performances and apply feature selection using Genetic Algorithm You will also learn how to do feature selection using Genetic Algorithm. Feature Selection will be done on one dataset: Apply feature selection to extract the features that are relevant to the predicted output...
$15.99
Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. Feature Engineering Automated Data Preparation and Model Selection The model selection problem Building the Prototype: Model selection (graphic) Model Selection Lab (Activity)...
Related searches
Foundations of Data Science
by Dinesh Kumar- 0.0
-
![]()
![]()
![]()
![]()
![]()
7 Weeks
An important step in ML model building is feature selection to avoid overfitting and underfitting. We will discuss various hypothesis tests and how they are used in feature selection. Every ML model has an optimization stage, either to fine-tune the feature weights, or to find an optimal set of features....
$149
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. Describe and use common feature selection and feature engineering techniques Retrieving Data, Exploratory Data Analysis, and Feature Engineering Feature Engineering and Variable Transformation - Part 1 Feature Engineering and Variable Transformation - Part 2...
Machine Learning: Unsupervised Learning
by Charles Isbell , Michael Littman , Pushkar Kolhe- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 1 months
You will learn about and practice a variety of Unsupervised Learning approaches, including: randomized optimization, clustering, feature selection and transformation, and information theory....
Free
