Search result for Regression and classification Online Courses & Certifications
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Predictive Analytics using Machine Learning
by Dr Johannes De Smedt , Sofia Varypati , Obinna Unigwe- 0.0
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6 Weeks
This course will give you an overview of machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python. These models form the basis of cutting-edge analytics tools that are used for image classification, text and sentiment analysis, and more. Practice building tree-based models, support vector machines and neural networks...
$300
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
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Approx. 13 hours to complete
The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. • describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. x and Eager Execution Deep Neural Networks and TensorFlow...
Machine Learning with Python from Scratch
by Tim Buchalka's Learn Programming Academy- 3.8
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12.5 hours on-demand video
Mastering Machine Learning Algorithms including Neural Networks with Numpy, Pandas, Matplotlib, Seaborn and Scikit-Learn For starters, you will learn about the main scientific libraries in Python for data analysis such as Numpy, Pandas, Matplotlib and Seaborn. Support Vector Machines for Regression and Classification Regression model and evaluation Linear and Polynomial Regression SVM, KNN, and Random Forest for Regression...
$12.99
Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Descriptive and Exploratory Data Analysis Linear Regression Tree Girth and Height Example...
Keras: Deep Learning in Python
by Francisco Juretig- 3.7
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10 hours on-demand video
We also show how to actually bypass Keras, and build the models directly in Theano/Tensorflow syntax (although this is quite complex!) After taking this course, you should feel comfortable building neural nets for time sequences, images classification, pure classification and/or regression. All the lectures here can be downloaded and come with the corresponding material....
$13.99
Data Analytics Foundations for Accountancy II
by Robert Brunner- 4.8
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Approx. 70 hours to complete
Welcome to Data Analytics Foundations for Accountancy II! I'm excited to have you in the class and look forward to your contributions to the learning community. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Introduction to Linear Regression Introduction to Logistics Regression...
Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)
by Modeste Atsague- 3.3
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3 hours on-demand video
M1, DecisionTree, Logistic Regression , Naive Bayes, Neural Network, CNN, K-mean , Linear regress How to combine models to predict Missing values treatment ,variables selection and prediction using a linear regression model K mean Clustering ...
$9.99
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Fundamentals of Decision Trees in Machine Learning
by Tech Lab- 3.6
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2.5 hours on-demand video
A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification and regression. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. This course covers the essentials of machine learning, including predictive analytics and working with decision trees....
$13.99
Artificial Intelligence #2: Polynomial & Logistic Regression
by Sobhan N.- 4.1
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2 hours on-demand video
Regression techniques for students and professionals. Learn Polynomial & Logistic Regression and code them in python Polynomial regression fits a nonlinear relationship between the value of X and the corresponding conditional mean of Y. For this reason, Polynomial Regression is considered to be a special case of multiple linear regression. Such predictors/features are also used in classification settings....
$9.99
The Fun and Easy Guide to Machine Learning using Keras
by Augmented Startups- 3.9
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5 hours on-demand video
Learn 16 Machine Learning Algorithms in a Fun and Easy along with Practical Python Labs using Keras Classification – Logistic Regression, K Nearest Neighbors (KNN), Support Vector Machine (SVM) and Naive Bayes, Subsequently some of the most common machine learning regression and classification techniques such as random forests, decision trees and linear discriminant analysis will be covered....
$13.99
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