- New York, NY
- http://syedjafri.info
- @SyedMHJafri
Stars
The fastai book, published as Jupyter Notebooks
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
All Algorithms implemented in Python
Everything you need to know to get the job.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
List of Computer Science courses with video lectures.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Artificial Intelligence Graduate Certificate - Stanford
Official content for Harvard CS109
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Hands-On Data Structures and Algorithms with Python Second Edition, published by Packt
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
Open source admin template based on Bootstrap 5 and React.js
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam
Python training for business analysts and traders
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
The official repo for Two Scoops of Django 1.11 code samples migrated to Django 2.0
porfolio repo for all Dev Bootcamp work
Content for Udacity's Machine Learning curriculum
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Cheat Sheets
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Code for the online course "Deployment of Machine Learning Models"
Contains files related to content and project of DSND Term 2
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.