Pinned Repositories
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
Baby-Steps
Day1@Data Scientist Specialization
bioinfokit-TUCKEY_HSD-
Bioinformatics data analysis and visualization toolkit
ByeByePandas
Alternatives to PANDAS: MODIN
College_Statistics_with_Python
We use Python to get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
datashader
Quickly and accurately render even the largest data.
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
fastcluster
Fast hierarchical clustering routines for R and Python.
NewQuest's Repositories
NewQuest/approachingalmost
Approaching (Almost) Any Machine Learning Problem
NewQuest/bioinfokit-TUCKEY_HSD-
Bioinformatics data analysis and visualization toolkit
NewQuest/ByeByePandas
Alternatives to PANDAS: MODIN
NewQuest/College_Statistics_with_Python
We use Python to get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch
NewQuest/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
NewQuest/datashader
Quickly and accurately render even the largest data.
NewQuest/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
NewQuest/fastcluster
Fast hierarchical clustering routines for R and Python.
NewQuest/Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
NewQuest/FIt-SNE
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
NewQuest/gensim
Topic Modelling for Humans
NewQuest/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.
NewQuest/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.
NewQuest/hdbscan
A high performance implementation of HDBSCAN clustering.
NewQuest/ipywidgets
Interactive Widgets for the Jupyter Notebook
NewQuest/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
NewQuest/jinhangjiang.github.io
Build a Jekyll blog in minutes, without touching the command line.
NewQuest/jupyterlab-git
A Git extension for JupyterLab
NewQuest/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
NewQuest/Machine-Learning-in-90-days
NewQuest/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.
NewQuest/ml-road
Machine Learning Resources, Practice and Research
NewQuest/plotly.py
The interactive graphing library for Python (includes Plotly Express) :sparkles:
NewQuest/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
NewQuest/RAG-Survey
NewQuest/sparkmonitor
Monitor Apache Spark from Jupyter Notebook
NewQuest/t-SNE-on-MNIST-and-Visualization
Applying t-SNE on MNIST dataset and visualizing the digit classes in 2 dimensions using matplotlib library
NewQuest/umap
Uniform Manifold Approximation and Projection
NewQuest/WOE-and-IV
NewQuest/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.