Search result for Regression and classification Online Courses & Certifications
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Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
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Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. Review: Regression Review: Classification and K-Nearest Neighbors Review: Logistic Regression and Support Vector Machines Review: Classification and Training...
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
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Approx. 9 hours to complete
Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Classification using Decision Trees and k-NN Classification in scikit-learn Generalization and overfitting Understanding Classification with Decision Trees and k-NN From Regression to Classification...
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
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Approx. 22 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. Creating and Cleaning Features Evaluate and Customize Classification Models...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
Build Regularized and Iterative Linear Regression Models Build Regularized and Iterative Linear Regression Models Module Introduction Building Regularized and Iterative Linear Regression Models Multi-Label and Multi-Class Classification Evaluate and Tune Classification Models Evaluate and Tune Classification Models Module Introduction Evaluating and Tuning Classification Models Train and evaluate linear regression models. Train binary and multi-class classification models....
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Regression Introduction to Regression Simple Linear Regression Model Evaluation in Regression Models Evaluation Metrics in Regression Models...
機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
by 林軒田- 4.9
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Approx. 9 hours to complete
Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. Linear Regression for Binary Classification 第十講: Logistic Regression Logistic Regression Problem Logistic Regression Error Gradient of Logistic Regression Error 第十一講: Linear Models for Classification Linear Models for Binary Classification...
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
Regression and Classification Classification, Regression and Clustering A Review of Supervised Learning and Regression Logistic Regression Lab I Logistic Regression Lab 2 Linear Regression Regression Evaluation Logistic Regression Classification Evaluation Measuring Success and Constraints Apply foundational data science concepts and techniques to solve these real-world problems. Design, execute, assess, and communicate the results of your very own data science projects....
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Cluster Analysis, Association Mining, and Model Evaluation
by Dursun Delen , Julie Pai- 0.0
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Approx. 4 hours to complete
Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. Modules 3 and 4 Cluster analysis and segmentation Collaborative filtering and market basket analysis...
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
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Approx. 22 hours to complete
This course provides an overview of machine learning techniques to explore, analyze, and leverage data. Summary of Big Data Integration and Processing Goals and Activities in the Machine Learning Process Building and Applying a Classification Model Classification in KNIME and Spark Quiz Comparing Classification Results for KNIME and Spark Slides: Regression...
Predictive Modeling and Analytics
by Dan Zhang- 3.6
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Approx. 11 hours to complete
This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. Data Cleanup and Transformation...
