Search result for Supervised and unsupervised learning Online Courses & Certifications
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Data Science Fundamentals For Beginners
by VIEH Group- 3.1
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1.5 hours on-demand video
That means by completing this course I guarantee you that you will learn all the complex Data Science Components and Machine Learning Algorithms in a easy and Understandable way. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Supervised Vs Unsupervised Learning...
$12.99
Predictive Modeling, Model Fitting, and Regression Analysis
by Dursun Delen , Julie Pai- 4.4
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Approx. 4 hours to complete
Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. Data Dimensionality and Classification Analysis Modules 1 and 2 Modules 3 and 4 The application of predictive modeling to professional and academic work...
Fundamentals of Machine Learning with Python Implementation.
by Three Millennials- 3.5
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7 hours on-demand video
Learn Fundamentals of Machine Learning from scratch to make students well equipped with all basics and math involved Various types of learning like supervised, unsupervised and reinforcement learning. Various supervised learning algorithms like linear and logistic regression. Reinforcement learning techniques like Q-learning and SARSA Use Python for Data Science and Machine Learning...
$12.99
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. Module 2: Supervised Machine Learning - Part 1...
Machine Learning & Data Science A-Z: Hands-on Python 2021
by Navid Shirzadi- 4.5
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14.5 hours on-demand video
Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python Are you interested in data science and machine learning, but you don't have any background, and you find the concepts confusing? Chapter4: Machine Learning Types Chapter5: Supervised Learning: Classification Chapter6: Supervised Learning: Regression Chapter7: Unsupervised Learning: Clustering...
$15.99
Unsupervised Deep Learning in Python
by Lazy Programmer Team- 4.5
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8.5 hours on-demand video
Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA If you are interested in deep learning and you want to learn about modern deep learning developments beyond just plain backpropagation, including using unsupervised neural networks to interpret what features can be automatically and hierarchically learned in a deep learning system, this course is for you....
$34.99
Deep Learning Fundamentals with Keras
by Alex Aklson- 0.0
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5 Weeks
What are supervised and unsupervised deep learning models? How to use Keras to build, train, and test deep learning models? You will learn about supervised deep learning models, such as convolutional neural networks and recurrent neural networks, and how to build a convolutional neural network using the Keras library. You will learn about unsupervised learning models such as autoencoders....
$99
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Machine Learning Fundamentals
by Sanjoy Dasgupta- 0.0
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10 Weeks
Understand machine learning's role in data-driven modeling, prediction, and decision-making. In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. All programming examples and assignments will be in Python, using Jupyter notebooks. Classification, regression, and conditional probability estimation...
$350
Big Data Analytics Using Spark
by Yoav Freund- 0.0
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10 Weeks
Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform. You will learn how to perform supervised an unsupervised machine learning on massive datasets using the Machine Learning Library (MLlib). Performing data loading and cleaning using Spark and Parquet Modeling data through statistical and machine learning methods...
$350
Machine Learning
by Charles Isbell- 0.0
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14 Weeks
statistical supervised and unsupervised learning methods The course also covers theoretical concepts such as inductive bias, the PAC and Mistake‐bound learning frameworks, minimum description length principle, and Ockham's Razor. By the end of this course, you should have a strong understanding of machine learning so that you can pursue any further and more advanced learning....
$99
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