aceleradev-ds

A repo to store my walkthrough through the CodeNation's program, AceleraDev Data Science

aifest

Machine Learning 101

alzheimer-deep-learning

The goal of this project is classifying alzheimer disease from magnetic ressonance images compressed in .nii files using convolutional neural networks architectures.

awesome

Cherry picked DS educational materials

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

billboard-hot-100

Wrangling and Visualizing Musical Infomation from Billboard's dataset

br-python-challenges

character_recognizer_pytorch

clean-code-ml

:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cortado

High performance ML in pure Python

coursera-machine-learning-with-python

My progress in Andrew's Ng Coursera Machine Learning Course

covid-19-cnn

Convolutional neural networks model to classify covid-19 from x-ray

covid-19-detector

Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

creditrisk

cythonxgb

Fast one-sample prediction for XGBoost for usage with Cython

dagster

Dagster is an open-source system for building data applications.

dash-oil-and-gas-demo

Dash Demo App - New York Oil and Gas

dash-sample-apps

Apps hosted in the Dash Gallery

dask-tutorial

Dask tutorial

data-eng

Data Engineering Nanodegree Projects

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-micromasters

My progress studing this micromasters from edX

data-science-take-home-challenges

datalab

datastructures-and-algorithms

Repository for studying/practicing Data Structures, Algorithms and Code Interview Problems.