Femi Onakunle's repositories
fund-me-with-hardhat
Smart contracts - learning from FCC & Patrick
hardhat-html-fund-me
Learning from the FCC & Patrick & Smart contracts
Probability
Applied Probability Theory for Everyone
learn-react
React 16 Launchpad
IntroductionAlgorithmsDataStructures
This repository contains the code associated with the "Introduction to Algorithms and Data Structures" Safari Video. https://www.oreilly.com/live-training/courses/introduction-to-algorithms-and-data-structures/0636920306535/
learn-terraform
Learn Terraform in 4 hours
ultimate_rust_crash_course
Rust Programming Fundamentals - one course to rule them all, one course to find them...
ultimate_rust2
The best Intermediate Rust course out there!
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Introduction-to-Algorithms-CLRS-
Introduction to Algorithms is a book on computer programming by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. In this repository , there will be all solution of this book and some explanation
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
oop-python
Object-Oriented Programming in Python
python-level-2
Programming with Python: Beyond the Basics
slt-py-example
Safari Live Training - Python by Example
Graph_Powered_ML_Workshop
Material and Notebooks for the Graph Powered ML Workshop.
NLP
Natural Language Processing For Everyone
oreilly_machine_learning_from_scratch
Resources for the O'Reilly Online Training "Machine Learning from Scratch"
programming-with-data
🐍 Learn Python and Pandas from the ground up
DeepLearning
Deep Learning From Scratch
Math-for-Programmers
Source code for the book, Math for Programmers
oreilly_intro_to_mathematical_optimization
O'Reilly online training "Intro to Mathematical Optimization"
Timeseries
Timeseries for everyone
IBM---Deep-Learning-and-Reinforcement-Learning
In this repo you can find my files of Deep Learning and Reinforcement Learning, which is one of IBM Machine Learning courses on coursera.
pytorch-book
Code included in the book, PyTorch Pocket Reference