NewQuest's repositories
datashader
Quickly and accurately render even the largest data.
ipywidgets
Interactive Widgets for the Jupyter Notebook
plotly.py
The interactive graphing library for Python (includes Plotly Express) :sparkles:
jupyterlab-git
A Git extension for JupyterLab
umap
Uniform Manifold Approximation and Projection
sparkmonitor
Monitor Apache Spark from Jupyter Notebook
hdbscan
A high performance implementation of HDBSCAN clustering.
fastcluster
Fast hierarchical clustering routines for R and Python.
gensim
Topic Modelling for Humans
bioinfokit-TUCKEY_HSD-
Bioinformatics data analysis and visualization toolkit
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
jinhangjiang.github.io
Build a Jekyll blog in minutes, without touching the command line.
www.mlcompendium.com
The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.
FIt-SNE
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
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.
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.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
approachingalmost
Approaching (Almost) Any Machine Learning Problem
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
College_Statistics_with_Python
We use Python to get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch
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-road
Machine Learning Resources, Practice and Research
ByeByePandas
Alternatives to PANDAS: MODIN
Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
t-SNE-on-MNIST-and-Visualization
Applying t-SNE on MNIST dataset and visualizing the digit classes in 2 dimensions using matplotlib library