Search result for Regression and classification Online Courses & Certifications
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Machine Learning for Accounting with Python
by Linden Lu- 0.0
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Approx. 63 hours to complete
This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It also discusses model evaluation and model optimization. Module 1 Overview and Resources 1 Introduction to Linear Regression 2 Introduction to Logistic Regression Module 2 Overview and Resources 3 Introduction to Bagging and Random Forest...
End to End Data Science Practicum with Knime
by Prof. Dr. Şadi Evren Şeker- 0.0
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9 hours on-demand video
Applied Data Science Concepts and Techniques with Knime and hands on examples 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. We also have bonus classes for artificial neural network and deep learning on image processing problems....
$14.99
Machine Learning: Classification
by Emily Fox , Carlos Guestrin- 4.7
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Approx. 21 hours to complete
You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier. -Describe the input and output of a classification model. -Tackle both binary and multiclass classification problems. Logistic Regression with L2 regularization Overfitting & Regularization in Logistic Regression Logistic Regression with L2 regularization...
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
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Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. From a more technical perspective, the course covers supervised, unsupervised and semi-supervised methods, and explains what can be obtained with classification, clustering, and regression techniques....
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
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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
Complete Python Machine Learning & Data Science for Dummies
by Abhilash Nelson- 4.1
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10.5 hours on-demand video
Non-Linear Algorithms - k-Nearest Neighbours, Naive Bayes, Classification and Regression Trees, Support Vector Machines. Linear Algorithms - Linear Regression, Ridge Regression, LASSO Linear Regression and Elastic Net Regression. Non-Linear Algorithms - k-Nearest Neighbours, Classification and Regression Trees, Support Vector Machines. Compare Logistic Regression, Linear Discriminant Analysis, k-Nearest Neighbours, Classification and Regression Trees, Naive Bayes, Support Vector Machines....
$11.99
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
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Approx. 28 hours to complete
To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. - build and apply linear models for classification and regression tasks; Large scale regression and classification. Gradient Boosted Decision Trees: Intro & Regression Gradient Boosted Decision Trees: Classification Bootstrap, Bagging and Random Forest...
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Data Science 2021: Data Science & Machine Learning in Python
by Ankit Mistry- 4.4
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18.5 hours on-demand video
8) Artificial Neural Networks (ANNs): The Neuron, Activation Function, Cost Function, Gradient Descent and Back-Propagation, Building the Artificial Neural Networks, Binary Classification with Artificial Neural Networks 10) Recurrent Neural Network (RNNs): Theory behind Recurrent Neural Networks, Vanishing Gradient Problem, Working of LSTM and GRU, IMDB Review Classification with RNN - LSTM Calculate Grades using Simple Linear Regression...
$11.99
Data Science: Machine Learning and Statistical Modeling in R
by Star Academy- 4.2
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10 hours on-demand video
Master machine learning techniques with R to solve Real-World problems and gain valuable insights from your data. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning and more. This course aims to excite you with awesome projects focused on analysis, visualization, and machine learning....
$11.99
Artificial Intelligence #4:SVM & Logistic Classifier methods
by Sobhan N.- 3.1
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2 hours on-demand video
Classification methods for students & professionals. Learn Support Vector Machine & Bayes Classification &code in python In machine learning, Support Vector Machines (SVM) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. In the terminology of economics, logistic regression is an example of a qualitative response/discrete choice model....
$12.99
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