Post Graduate Program in Artificial Intelligence and Machine Learning (Greatlearning.in X University of Texas, Austin)

The PGP-AIML uniquely combines a comprehensive curriculum, enabling you to master the basics of programming as well as the most widely used-tools and techniques in the industry, without any prior coding experience. A structured learning journey keeps you on track throughout as you achieve your weekly learning milestones with your mentor and benefit from their rich professional experience.

Key Learning Outcomes:

1. Build your expertise in the most-widely-used AI & ML tools and technologies.
2. Acquire the ability to independently solve business problems using AI and ML.
3. Master the skills needed to build Machine Learning and Deep Learning models.
4. Develop know-how of the applications of AI in areas such as Computer Vision and NLP.
5. Understand the possibilities and implications of AI in different industries.
6. Build a substantial body of work and an industry-ready portfolio in AI & ML.

Syllabus:

Applied Statistics
Supervised Learning
Ensemble Techniques and Decision Trees
Unsupervised Learning
Featurization, Model Selection & Tuning
Recommendation Systems
Introduction to Neural Networks
Computer Vision
Natural Language Processing
Capstone Project - NLP


Disclaimer:

You should only use the programming assignments placed in this repository as a resource and to get you out of a jam. Do not simply copy and paste the code if you are a participant in this course; doing so will not help you. Please watch every lecture video, finish the quizzes and code assignments yourself as it is comparatively simple to understand.

Portfolio



This repository is only for recording my work.