Search result for Regression and classification Online Courses & Certifications
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Data Science – The Complete Guide (incl. Python & R)
by Thinkahead Academy, LLC.- 3.1
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9 hours on-demand video
Learn how to develop and deploy your data science projects with the most popular end-to-end platform - Anaconda. Learn How to Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda At the end of the course, you'll have an in-depth understanding of how to use Anaconda to find solutions for clustering, classification, and linear regression....
$12.99
Machine learning with Scikit-learn
by Francisco Juretig- 3.6
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6.5 hours on-demand video
We'll explain what are the differences between AI, machine learning (ML), statistics, and data mining. We will be able to create data-sets specifically tailored for regression, classification and clustering. Scikit-learn will provide estimators for both classification and regression problems. We will then use classification and regression trees to estimate very complex models....
$11.99
Python for Machine Learning and Data Mining
by CARLOS QUIROS- 3.6
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12.5 hours on-demand video
- Linear and Multiple Regression- Regularization- Polynomial Regression- Logistic Regression- Cross Validation- Support Vector Machines for Regression and Classification- Decision Trees and Random Forest- KNN algorithm- GridSearchCV- Principal Component Analysis (PCA)- Linear Discriminant Analysis (LDA)- Kernel Principal Component Analysis (KPCA)- Ensemble methods- K means clustering analysis- Market Basquet Analysis- Time Series with ARIMA models- Gradient Descent- Multilayer Neural Networks...
$11.99
Causal Inference
by Michael E. Sobel- 3.3
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Approx. 12 hours to complete
Inferences about causation are of great importance in science, medicine, policy, and business. Lesson 2: Potential Outcome, Unit and Average Effects Lesson 3: Ignorability: Bridging the Gap Between Randomized Experiments and Observational Studies MODULE 3: Regression Lesson 1: Estimating the Finite Population Average Treatment Effect (FATE) and the Randomized Treatment Effect Lesson 1: Regression Based Estimators and Double Robustness...
Mastering Data Analysis in Excel
by Jana Schaich Borg , Daniel Egger- 4.2
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Approx. 21 hours to complete
You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel. Standardizing x and y Coordinates for Linear Regression...
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
The first topic covers the complex topic of evaluation metrics, where you will learn best practices for a number of different metrics including regression metrics, classification metrics, and multi-class metrics, which you will use to select the best model for your business challenge. Discuss common regression, classification, and multilabel classification metrics...
Introduction to Predictive Analytics using Python
by Dr Johannes De Smedt , Obinna Unigwe , Sofia Varypati , Dr Xuefei Lu- 0.0
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6 Weeks
Through the analysis of real-life data, you will also develop an approach to implement simple linear and logistic regression models. This course is the first in the MicroMasters program and will prepare you for modeling classification and regression problems with statistical and machine learning methods. Gather and prepare data for predictive modelling...
$150
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Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
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9 Weeks
This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines....
$149
From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase
by Loony Corn- 4.5
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20 hours on-demand video
This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall....
$14.99
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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Approx. 8 hours to complete
This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? Neurons and Neural Networks Introduction to Neural Networks and Deep Learning Keras and Deep Learning Libraries...
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