Machine Learning using Python Training Course
EduCBA
Summary
- Certificate of completion - Free
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Overview
Machine Learning using Python
- 3+ Hours OF HD VIDEOS
- Verifiable CERTIFICATION
- Practical SKILLS DEVELOPMENT
- Accelerate YOUR CAREER
- Lifetime Access 24*7 Unlimited Access
- Access through any device
- Technical support
- Mobile App Access
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
Certificates
Certificate of completion
Digital certificate - Included
Description
Machine Learning using Python
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
This training is an introduction to the concept of machine learning, its algorithms and application using Python.
The training will include the following:
- What is Machine Learning? (Intro – why its used, Data Science defined)
- Analytics Defined (Predictive, Prescriptive etc.,)
- Data Mining Flow(Phases defined – with MOdeling phase that involves ML)
- Explanation on Data Set
- Supervised Learning
- Unsupervised Learning
- Classification Algorithms
- Regression Algorithms
- Linear Regression
- Logistic Regression
- Naive Bayes Classifier
- Anonymous Detection
- Decision Trees
- Random Forest
- Neural Networks
- K-Means Clustering
- Apriori algorithm
- Feature Selection
- Support Ventor Machine
- Basic explanation on Use Cases
- Basic Functions defines (Cost function, likelihood function, normalization, trade off etc.,)
- Primary tools/ Softwares used for ML
- Python Packages for Machine Learning
Who is this course for?
- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
Requirements
- No prior knowledge of machine learning required
- Basic knowledge of Python
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
