Machine Learning with Python

Description

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Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

About this course

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About this courseAbout this course

This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You'll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You'll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.

We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. Along the way, you’ll look at real-life examples of machine learning and see how it affects society in ways you may not have guessed!We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. Along the way, you’ll look at real-life examples of machine learning and see how it affects society in ways you may not have guessed!

Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!

We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests.We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests.

Mostimportantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!Mostimportantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!

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What you'll learn

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• The difference between the two main types of machine learning methods: supervised and unsupervisedThe difference between the two main types of machine learning methods: supervised and unsupervised
• Supervised learning algorithms, including classification and regressionSupervised learning algorithms, including classification and regression
• Unsupervised learning algorithms, including Clustering and Dimensionality ReductionUnsupervised learning algorithms, including Clustering and Dimensionality Reduction
• How statistical modeling relates to machine learning and how to compare themHow statistical modeling relates to machine learning and how to compare them
• Real-life examples of the different ways machine learning affects societyReal-life examples of the different ways machine learning affects society

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Syllabus

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Module 1 – Introduction to Machine LearningModule 1 – Introduction to Machine Learning

• Applications of Machine LearningApplications of Machine Learning
• Supervised vs Unsupervised LearningSupervised vs Unsupervised Learning
• Python libraries suitable for Machine LearningPython libraries suitable for Machine Learning

Module 2 – RegressionModule 2 – Regression

• Linear RegressionLinear Regression
• Non-linear RegressionNon-linear Regression
• Model evaluation methodsModel evaluation methods

Module 3 – ClassificationModule 3 – Classification

• K-Nearest NeighbourK-Nearest Neighbour
• Decision TreesDecision Trees
• Logistic RegressionLogistic Regression
• Support Vector MachinesSupport Vector Machines
• Model EvaluationModel Evaluation

Module 4 – Unsupervised LearningModule 4 – Unsupervised Learning

• K-Means ClusteringK-Means Clustering
• Hierarchical ClusteringHierarchical Clustering
• Density-Based ClusteringDensity-Based Clustering

Module 5 – Recommender SystemsModule 5 – Recommender Systems

• Content-based recommender systemsContent-based recommender systems
• Collaborative FilteringCollaborative Filtering

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Tag: Machine Learning with Python Review. Machine Learning with Python download. Machine Learning with Python discount.Tag: Machine Learning with Python Review. Machine Learning with Python download. Machine Learning with Python discount.

Future-proof your knowledge with the Future-proof your knowledge with the Machine Learning with PythonMachine Learning with Python course at course at GiOlibGiOlib! Enjoy lifetime access to high-quality digital content, crafted to advance your career and personal development.! Enjoy lifetime access to high-quality digital content, crafted to advance your career and personal development.

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