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gans_python

This is a full guide on GANs from the book Generative Adversarial Networks with Python, Jason Brownlee

graphql-demo

hw1

intellij-plugin

introtonlp-365

lecturecode-sp19

Code created for lecture during spring 19

library-sp19

Libraries and data for the sp19 version of CS 61B

linear-algebra-for-machine-learning-and-data-science

Mathematics for Machine Learning and Data science is a foundational online program created in by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning.

loan-prediction

Predict which loans will be foreclosed on.

lstm-ez

Flexible keras-based code to analyze sequence data using LSTM neural network. Illustrates the use of keras parameters such as "units" (= number of neurons), features and timesteps. The point is that if you have some sequence data and you want to quickly plug into and LSTM model (and you are frustrated by trying to follow Jason Brownlee's lovely but incomplete examples) this will get you started quickly.

machine-learning-mastery-with-python

book by Dr. Jason Brownlee

machine-learning-stanford

manual-connections

Scripts for manual connections to Private Internet Access

master-machine-learning-algorithms

This is a repository for notes and codes of reading the book --- Jason Brownlee Master Machine Learning Algorithms

master-machine-learning-algorithms-from-scratch

Book by Dr. Jason Brownlee

materials-sp20

materials-sp21

materials-x19

Publicly available materials that are used in the Data 8X Foundations of Data Science course on EdX in 2019.

minimal-fastapi-postgres-template

minimal-fastapi-postgres-template based on official template but rewritten

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.

ml-mastery

Code from Jason Brownlee's course on mastering machine learning

ml_algorithms_course

Public repo for 365 Data Science ML Algorithms Course

ml_process_course

Public repo for the 365 Data Science ML Process Course

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

my-python-code

ok-client

A Python client for the OK autograding system

ootp-calculator

ootp-pt-analysis

ootp_utils

practical-python-and-opencv

book by Adrian Rosebrock