Pythonquants

email: pythonquantsai@gmail.com; pythonquants@gmail.com Youtube: https://www.youtube.com/@pythonquants_ai/ Instagram: https://www.instagram.com/pythonquants.ai/ Facebook: https://www.facebook.com/pythonquants/ Our mission is to make programming and AI accessible for everyone through byte sized learning modules that are explained in a jargon free, easy to understand and intuitive style. At every step, the focus is to demonstrate the practical application of a concept. Our core focus areas: A. Python Programming Learn all core Python concepts + get some hard-core practice via embedded exercises through 11 sessions of 2 hour classroom videos. These sessions cover the following: Check our first three session videos on youtube here: https://www.youtube.com/@pythonquants_ai/ Session 1 - Python Operators, Variables, Data Types Session 2 - Lists, Tuples, Dictionaries Session 3 - Dictionary, Data Type Conversions, if/else, Loops, Python Functions, Exercise - Generate Synthetic data using for loops and dictionary and perform data sorting Session 4 - recursive functions, nested dictionaries, local and global variables, lambda function, map() and reduce () Session 5 - functions, models, date and time, input fn, Assertions and Exceptions, start of Numpy Session 6 & 7 - Numpy Session 8 & 9 - Pandas, Exercises - Data Analytics on Hollywood dataset from Kaggle, Data Preprocessing on NSE stock data Session 10 - Pandas, Class and Objects Session 11 - Class and Objects, Data Visualization B. Generative AI 1. What is Generative AI 2. What is LLM and what is a 'pretrained' model 3. What is the breakthrough from previous generation of NLP 4. What are transformers and how do they work 5. Understanding various key terms of Gen AI 6. Using a high RAM (memory) device on the cloud 7. Using python to step by step see how transformers work 8. How can we use various custom transformer models 9. How can we fine tune a pretrained model using various public datasets