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This plan includes
- Instant access to 11,000+ online courses
- Play & Pause Course Videos
HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Chat Support
- Cancel Plan Anytime
This plan includes
- Instant access to 11,000+ online courses
- Play & Pause Course Videos
- HD Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Chat Support
- Cancel Plan Anytime
What you'll learn?
- Discovering and increasing your data's potential || Supervised learning and it's real world applications || Unsupervised learning and it's real world applications || Reinforcement learning and it's real world applications || How to plan and execute your ML or DL project || How you can take control of data and ML lifecycle
Course Overview
This course will provide the technical knowledge you need to get started with applying Machine Learning (ML) to solve your problem efficiently and at scale. We start from the data stage, move onto ML concepts, tying them back to example use cases and their evaluation, and also cover planning and scaling strategies that help you get your solution out into the world. Beyond that, the course also covers steps that help you continuously maintain and improve your solution pipeline, throughout its lifecycle.
There could be parts of this course that the learner may be aware of already, but as someone who does this day in and out, I have tried to include scenarios, challenges, steps and the outlook to face even well known topics with more confidence than before, and put them together in a well-ordered flow. This might come in handy to someone preparing for an interview in this field. As someone who has learnt courses on the go during commute or other times, and having realised the time saving value, I have made the course's audio content substantially context rich for those who prefer consuming it through audio. It does have the video component as well, for visual learners.
This course can act as a well organised end-to-end guidebook to integrate Data Science and Machine Learning knowledge across the board into the everyday work of a Business Leader, Product Manager, Software Developer, Researcher, Analyst or Data Scientist, by being realistic and holistic. The learner can use this as a framework and mindset, that will enable them to think objectively and comprehensively at all stages of their data backed project's lifecycle, thereby increasing its success rate.
Pre-requisites
- You just need to know what is software and how it works, to start understanding about how ML and DL software works and what their potential is
Target Audience
- Business Leaders wanting to solve their problems through data, Product Managers, Software developers curious about solving problems using data, Beginner Data Scientists and Business Analysts
Curriculum 20 Lectures 01:48:36
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Section 1 : Introduction
- Lecture 2 :
- Introduction to Course
-
Section 2 : Discovering your data's potential
- Lecture 1 :
- Types of Data
- Lecture 2 :
- Data Preprocessing: Basic Steps
- Lecture 3 :
- Data Preprocessing: Advanced Steps
- Lecture 4 :
- Sampling the data
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Section 3 : Supervised Learning
- Lecture 1 :
- When to use supervised learning with examples
- Lecture 2 :
- Classification
- Lecture 3 :
- Regression
- Lecture 4 :
- Time Series
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Section 4 : Unsupervised Learning
- Lecture 1 :
- When to use unsupervised learning with examples
- Lecture 2 :
- Clustering
- Lecture 3 :
- Anomaly Detection
- Lecture 4 :
- Recommender systems and dimensionality reduction
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Section 5 : Reinforcement Learning
- Lecture 1 :
- Introduction to Reinforcement Learning
- Lecture 2 :
- Models and their implementation strategies
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Section 6 : Planning, implementation and maintenance
- Lecture 1 :
- How to plan a data-backed project
- Lecture 2 :
- Implementing and maintaining your data pipelines and ML services at scale
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Section 7 : Bonus: Interview Preparation
- Lecture 1 :
- Interview Tips
-
Section 8 : Test your Understanding
- Lecture 1 :
- Quiz 1
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
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For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions. -
Is there any free trial?
Currently, we do not offer any free trial. -
Can i cancel anytime?
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