Artificial Intelligence and Machine Learning doesn’t have to be hard and complex if we approach it in right way. Sometimes, we need to have a complete working model to understand the basic concept (We really need to work on practicals to understand theoretical concepts ). This course is developed in that way and it delivers results. (We already have conducted and still conducting this course in many institutions.) As per our mission to help succeed students in Artificial Intelligence and Machine Learning, we want to help as many as we can.
Course objective:
The sole objective of this course is to get you introduced with AI (Artificial Intelligence) and ML (Machine Learning). All the programs and projects that we are going to develop, are using Python programming language. So, You will be introduced with Python, Also.
Learning outcomes:
After completing this course and assignments given to you, you will have:
- Multiple programs developed in Python
- Multiple programs developed for Machine Learning
- Multiple complete projects developed for Machine Learning
For concept seeker in you, you shall be able to answer these questions comfortably:
- What is AI and What is ML?
- How AI and ML are different but related?
- What are DL, NLP, ANN, DNN etc.?
- What is Python and how programs can be developed in this language?
- What is Anaconda, Spyder, Jupyter etc. and how and why do we use them for Machine Learning?
- How to write programs and projects of Machine Learning?
- What are classifiers and models in ML?
For the developer in you, you shall be comfortable with:
- Developing programs in Python environment.
- Machine learning development environment with Python.
Course Features
- Lectures 30
- Quizzes 0
- Duration 20 hours
- Skill level All levels
- Language English
- Students 15
- Certificate Yes
- Assessments Yes
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Welcome to the course
A warm welcome. Meet your instructor. Understand your course. What is the best way to go through the content?
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Getting comfortable with AI and ML
What is Artificial Intelligence? What is Machine Learning? What is the relation between AI and ML ?(they are related but different). What are DL, NLP, ANN, DNN etc. and how they are connected with AI?
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Laying the foundation with Python
What is Python and Why Python? How to set up Python development environment? How to develop basic programs in Python?
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Marching a bit forward in Python
How to loops in Python? How to use functions in python?
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Getting into core development of ML
What are different techniques available for ML? What are multiple libraries for ML in Python? What is Anaconda? How to set up Anaconda environment? How to develop First ML program?
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Developing a complete project of Machine Learning
What are different models? How to analyse and visualize dataset? How to train them simlutaneuosly? What is cross validation?
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Resources (So much in it).
Everything you need for this course. Programs, projects and other files that we used within the course. What next? How i can move forward in AI and ML? Where i can get more details?
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Thank You !!!
A special thank you. A gift.
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transtrades
Recommended
Good course for beginners