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Ensemble Machine Learning in Python: Random Forest, AdaBoost
by Lazy Programmer Team- 4.6
5.5 hours on-demand video
We will then study the bootstrap technique and bagging as methods for reducing both bias and variance simultaneously. Numpy coding: matrix and vector operations...
$29.99
Master MATLAB through Guided Problem Solving
by Tim Buchalka's Learn Programming Academy- 4.7
38 hours on-demand video
Maybe you want to learn how to make textured landscapes using fractal math, or use SVD to compute the low-rank approximation of a data matrix, or use nonlinear search methods to fit a 3-parameter Gaussian model to data?...
$16.99
Discovery Precalculus: A Creative and Connected Approach
by Mark L. Daniels , Karen E. Smid , Jeremiah W. Lucas- 0.0
15 Weeks
Modeling of common relations and functions such as linear, power, exponential, and logarithmic functions using statistical regression and matrix methods...
$49
Artificial Intelligence: Reinforcement Learning in Python
by Lazy Programmer Team- 4.6
14.5 hours on-demand video
Approximation Methods (i. Numpy coding: matrix and vector operations...
$199.99
Predictive Modeling with Logistic Regression using SAS
by Michael J Patetta- 4.5
Approx. 17 hours to complete
Methods for Imputing Missing Values Scalability of the Subset Selection Methods in PROC LOGISTIC Understanding the Confusion Matrix Adjusting a Confusion Matrix for Oversampling Understanding the Profit Matrix Choosing the Optimal Cutoff by Using the Profit Matrix Demo: Using a Profit Matrix to Measure Model Performance...
ACT Practitioner & Coaching Certificate Beginner to Advance
by Coach Hall- 4.1
7 hours on-demand video
3 ACT tools, Choice Point, Four Square & the Matrix Acceptance broken-down with several methods & demonstrations It is a mix of video delivery methods designed to keep you engaged....
$12.99
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 11 hours to complete
-Describe and use other ensemble methods for classification Ensemble Based Methods and Bagging - Part 1 Ensemble Based Methods and Bagging - Part 2 Ensemble Based Methods and Bagging - Part 3 Modeling Approaches: Nearing Neighbor Methods...
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Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 11 hours to complete
-Describe and use other ensemble methods for classification Ensemble Based Methods and Bagging - Part 1 Ensemble Based Methods and Bagging - Part 2 Ensemble Based Methods and Bagging - Part 3 Modeling Approaches: Nearing Neighbor Methods...
Differential Equations for Engineers
by Jeffrey R. Chasnov- 4.9
Approx. 27 hours to complete
Runge-Kutta Methods Root Finding Methods The Laplace Transform and Series Solution Methods Eigenvalues of a Symmetric Matrix The Laplace transform and series solution methods...
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
by Ge Gao 高歌, Ph.D. , Liping Wei 魏丽萍, Ph.D.- 4.4
Approx. 25 hours to complete
A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your future study and research....