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This repository contains the source code of my 6.5 hours "Laravel for beginners" YouTube tutorial
🐍 Python package for Open Food Facts
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 lear…
Source code for Youtube video: https://youtu.be/0UI6OZfhJQk
Source code for Youtube video: https://youtu.be/YSuWejNaSfE
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
GitHub client for Android based on the abandoned official app
Source code for demos & exercises, as well as practice questions + answers for my React.js book.
Source code for Laravel API server from Scratch series
DataCamp Project Solutions
sinbrive / Interview-Questions-CtCI-6th-Edition-Python
Forked from careercup/CtCI-6th-Edition-PythonCracking the Coding Interview 6th Ed. Python Solutions
This repository collects all interesting Python one-liners. Feel free to submit yours!
An introduction to data science in Python, for people with no programming experience.
Book and code where describe each and every topic of neural network from scratch.
Minimalistic implementation of a simple feedforward Neural Network
All the code from my course, available on youtube and udemy!
The "Python Machine Learning (3rd edition)" book code repository
My Data Science & Deep Learning Projects
A topic-centric list of HQ open datasets. PR ☛☛☛
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
A crash course in Numpy for Data Science
A super fast crash course to get you up to speed with Pandas.
A quick walkthrough of creating a neural network model using the Tensorflow Sequential API.
A full crash course on Python for beginners with a focus on Data Science
A curated list of awesome Machine Learning frameworks, libraries and software.
Syllabus for Part 2 of Nature of Code: "Intelligence and Learning" at ITP Spring 2017 Edit