AI and Machine Learning Algorithms Using Python
- Offered byFutureLearn
AI and Machine Learning Algorithms Using Python at FutureLearn Overview
Duration | 5 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Credential | Certificate |
AI and Machine Learning Algorithms Using Python at FutureLearn Highlights
- Duration 5 weeks
- Weekly study 5 hours
- Included in an ExpertTrack Course 5 of 5
AI and Machine Learning Algorithms Using Python at FutureLearn Course details
- How can you take your knowledge of machine learning (ML) concepts and how Python works within them to the next level?
- This data science course will give you a strong grounding in the theories of machine learning, along with practical scenarios and experience of building, validating and deploying machine learning models.
- You'll learn basic machine learning and artificial intelligence (AI) concepts and get to understand relationships in complex data. Learn to use the Python programming language and examine how state-of-the-art machine learning algorithms are created and used in the products and services of tomorrow.
- What are the common concepts and theories driving AI technology today? The course will teach you core principles such as ML categories (such as supervised and unsupervised learning), the most common regression techniques, and how algorithms behave and learn in machines.
- Effectively deploying machine learning models is more of an art than science. On this course you'll find out how to bridge the gap between IT and data science in putting a good model into production.
- Python and Azure Notebooks can be used to help you gather insights from ML models once they have been deployed. This course will show you how to collect output data, responses, request rates, failure rates and more with Python and Notebooks.
AI and Machine Learning Algorithms Using Python at FutureLearn Curriculum
Introduction to Course and Machine Learning
Course Introduction
Introduction to Machine Learning
Exploratory Data Analysis for Regression
Visualisation for High Dimensions
Wrapping Up the Week
Data Exploration & Preparation
Exploratory Data Analysis for Classification
Data Cleaning
Data Preparation
Data Preparation and Cleaning using Python
Feature Engineering
Weekly Wrap-Up
Regression & Classification
Regression
Putting Regression Concepts Into Practice
Classification
RoC Curves
Putting Classification Concepts Into Practice
Weekly Wrap-Up
Principles & Techniques of Model Improvement
Principles of Model Improvement
Techniques for Improving Models
Cross Validation
Dimensionality Reduction
Introduction to Decision Trees
Ensemble Methods: Boosting
Weekly Wrap-Up
Machine Learning Algorithms & Unsupervised Learning
Ensemble Methods: Descent & Decision Forests
Advanced Machine Learning Algorithm: Neural Networks
Advanced Machine Learning Algorithm: SVMs
Advanced Machine Learning Algorithm: Naive Bayes Models
Unsupervised Machine Learning
Unsupervised Machine Learning Labs
Wrapping up the Course
Other courses offered by FutureLearn
Student Forum
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