andrefmb Goto Github PK

dtale-datasets

Datasets from kaggle and other public repositores for data analysis using Dtale

eda_and_everything_you_need_before_building_a_model-

Exploratory Data Analysis

eda_olimpiadas

elementsofdatascience

An introduction to data science in Python, for people with no programming experience.

fairness_tutorial

Hands-on tutorial on ML Fairness

fusionpredictivemodel

fuzzylogic

Fuzzy Logic and Fuzzy Inference for Python 3

geographic-data-science

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

geoinfotest

geopyter

GeoPyTeR: Geographical Python Teaching Resource

git-for-science

A quick introduction to version control with Git and GitHub

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.

i_p2

investigation-amazon-brands

Materials to reproduce our findings in our stories, "Amazon Puts Its Own 'Brands' First Above Better-Rated Products" and "When Amazon Takes the Buy Box, it Doesn’t Give it up"

ipython-notebooks

A collection of IPython notebooks covering various topics.

lecture-python-programming.notebooks

Notebooks for https://python-programming.quantecon.org

lectures-ellis

Lecture Notes (Spring 2021)

linear-cpp

An attempt at a C++ tutorial.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml4pm

Machine Learning for Precision Medicine Course Excersises

neuralnetworks_course

notestex

NotesTeX (or its nickname NoTeX) is a simple LaTeX notes taking package for students.

numericsofml

Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen

openhpc-test-cluster

Build an OpenHPC test cluster in one command using Vagrant and VirtualBox.

practical-statistics-for-data-scientists

Code repository for O'Reilly book

pycon-2019-tutorial

Data Science Best Practices with pandas

pyfcm

This is a set of Python scripts written for Researchers to run more robust analysis with Fuzzy Cognitive Maps

python

All Algorithms implemented in Python

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

pythonplot.com

📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib.