hatemgh Goto Github PK

ai-math-roadmap

Your no-nonsense guide to the Math used in Artificial Intelligence

all-hyperparamter-optimization

asn-smote

blog-binary-classification-metrics

Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"

ccr

CCR: A combined cleaning and resampling algorithm for imbalanced data classification

crossvalidation

datasciencecoursera

datasciencecoursera-1

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

datasharing

The Leek group guide to data sharing

handle-imbalanced-dataset

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hyperparameter-optimization

imbalance

To explore state-of-the-art techniques that dealing with imbalance issue.

machine-leaning-in-examples

Contains notebooks which can explain machine learning problem on examples

machinelearning

A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube

machinelearningarabic

Machine Learning In Arabic Tutorials for my YouTube channel

methodcomparisonsinpython

Friedman tests for comparing multiple methods across datasets in python

model_selections

paio

PAIO: a Position characteristic-Aware Interpolation Oversampling algorithm

pycol

The Python Class Overlap Libray (pycol) assembles a comprehensive set of complexity measures associated with the characterization of the Class Overlap problem.

pystac

Python library for working with any SpatioTemporal Asset Catalog (STAC)

python

All Algorithms implemented in Python

pythontutorial

Step by step to build apps with Python. Code files for YouTube tutorial

rough-set

Thesis about implementation of Rough set in Python. Main goal is creating widget for Orange software.

roughset-feature-reduction-api

scikit-learn

scikit-learn: machine learning in Python

scikit-roughsets

Implementation of rough sets based reduction algorithm for Python

seaborn

Statistical data visualization using matplotlib

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

statistics-for-hackers

A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.