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Foundation Course - Designed for beginners and enthusiasts
Updated on Sep, 2026
IT and Software , Other IT and Software, Python
Training 5 or more people ?
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Implement Machine Learning algorithms
How to improve your Machine Learning Models
Build a portfolio of work to have on your resume
Supervised and Unsupervised Learning
Explore large datasets using data visualization tools like Matplotlib
Learn NumPy and how it is used in Machine Learning
Learn to use the popular library Scikit-learn in your projects
Learn to perform Classification and Regression modelling
Master Machine Learning and use it on the job
Learn which Machine Learning model to choose for each type of problem
Learn best practices when it comes to Data Science Workflow
Learn how to program in Python using the latest Python 3
Learn to pre process data, clean data, and analyze large data.
Developer Environment setup for Data Science and Machine Learning
A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
Real life case studies and projects to understand how things are done in the real world
Guidance to choose your career path based on your background and build the path in next 6 months
Comprehensive understanding on foundational concepts like Neurons, Perceptron, Multilayer Perceptron, Transformers.
Good overview on Convolution Neural Networks and Recurrent Neural Networks
Basic Python Programming, Basic Mathematical Concepts like Vector Algebra, Vector Calculus, Probability and Statistics.
Non Programmers are also can learn these skills with some initial ground preparation.
Check out the detailed breakdown of what’s inside the course
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