Search result for Linear models Online Courses & Certifications
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Statistics with SAS
by Jordan Bakerman- 4.8
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Approx. 20 hours to complete
The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. Overview of Models More Complex Linear Models The Multiple Linear Regression Model Multiple Linear Regression versus Simple Linear Regression Demo: Fitting a Multiple Linear Regression Model Using PROC REG More Complex Linear Models...
Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
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Approx. 22 hours to complete
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. Definition of Mixture Models Likelihood function for mixture models Maximum likelihood estimation for Mixture Models Bayesian estimation for Mixture Models Applications of Mixture Models Density estimation using Mixture Models Linear and quadratic discriminant analysis in the context of Mixture Models...
機器學習技法 (Machine Learning Techniques)
by 林軒田- 0.0
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Approx. 19 hours to complete
The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. Summary of Kernel Models Linear and Any Blending Summary of Aggregation Models Linear Network Hypothesis Summary of Extraction Models...
How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
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Approx. 54 hours to complete
- Master the art of combining different machine learning models and learn how to ensemble. - Python: work with DataFrames in pandas, plot figures in matplotlib, import and train models from scikit-learn, XGBoost, LightGBM. - Machine Learning: basic understanding of linear models, K-NN, random forest, gradient boosting and neural networks. Validation schemes for 2-nd level models...
Mathematics for Machine Learning: Multivariate Calculus
by Samuel J. Cooper , David Dye , A. Freddie Page- 4.7
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Approx. 18 hours to complete
We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. Simple linear regression General non linear least squares Linear regression...
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
by Heiner Igel- 4.7
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Approx. 35 hours to complete
This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element method to the 1D (or 2D) scalar wave equation. Week 06 The Linear Finite-Element Method - Static Elasticity Week 07 The Linear Finite-Element Method - Dynamic Elasticity...
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
Try clustering points where appropriate, compare the performance of per-cluster models To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
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Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
Try clustering points where appropriate, compare the performance of per-cluster models To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Sensor Fusion and Non-linear Filtering for Automotive Systems
by Lars Hammarstrand- 0.0
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8 Weeks
Compare typical motion models used for positioning, in order to know when to use them in practical problems Describe the essential properties of the Kalman filter (KF) and apply it on linear state space models Implement key nonlinear filters in Matlab, in order to solve problems with nonlinear motion and/or sensor models...
$299
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
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