Mayur Soneji's starred repositories
Alumni-Sessions
All ALumni Session Content
CloudNotes
Notes for my Cloud certifications.
functional-koans
A set of common ideas for learning functional programming
intro-to-apis-course
Introduction to APIs course
learn-cantrill-io-labs
Standard and Advanced Demos for learn.cantrill.io courses
BotBuilder-Samples
Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript/TypeScript, and Python to help you get started with the Bot Framework SDK!
amazon-efs-tutorial
This tutorial is designed to help you better understand the performance characteristics of Amazon Elastic File System
cassandra-workshop-series
All materials for the Cassandra Workshop Series in a single place
co-learning-lounge
Welcome to the one point community-driven encyclopedia for anything in technology.
scikit-learn-tips
:robot::zap: 50 scikit-learn tips
scala-2-advanced
The Scala 2 version (old) of the Advanced Scala course
scala-problems-interviews
The official repository for the Scala & Functional Programming Practice course
spark-essentials
The official repository for the Rock the JVM Spark Essentials with Scala course
scala-2-beginners
The official repository for the Rock the JVM Scala 2 for beginners course
Awesome-Design-Tools
The best design tools and plugins for everything 👉
basic_model_scratch
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
aiexperiments-giorgio-cam
Take a picture to make music with the computer.