Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Automated-Manual-Comparison
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
BDA_py_demos
Bayesian Data Analysis demos for Python
BMW-TensorFlow-Training-GUI
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
book
cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
gjogonzalezc's Repositories
gjogonzalezc/cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
gjogonzalezc/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
gjogonzalezc/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
gjogonzalezc/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
gjogonzalezc/BMW-TensorFlow-Training-GUI
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
gjogonzalezc/book
gjogonzalezc/Data-Science--Cheat-Sheet
Cheat Sheets
gjogonzalezc/data-science-journal
Personal repository of data science demonstrations and references
gjogonzalezc/DataScienceResources
Open Source Data Science Resources.
gjogonzalezc/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
gjogonzalezc/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
gjogonzalezc/hoff-bayesian-statistics
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
gjogonzalezc/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries accross different industries.
gjogonzalezc/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
gjogonzalezc/machine-learning-with-python-cookbook-notes
My jupyter notebooks/code from Chris Albon's Machine Learning with Python Cookbook
gjogonzalezc/Medium_Python_Tutorials
Store the Python code for my tutoials on Medium
gjogonzalezc/meta-sim
Meta-Sim: Learning to Generate Synthetic Datasets (ICCV 2019)
gjogonzalezc/modelbased
:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
gjogonzalezc/pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
gjogonzalezc/pandas_redshift
Load data from redshift into a pandas DataFrame and vice versa.
gjogonzalezc/pdfminer.six
Python PDF Parser -- fork with Python 2+3 support using six
gjogonzalezc/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
gjogonzalezc/prince
:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
gjogonzalezc/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
gjogonzalezc/Python
All Algorithms implemented in Python
gjogonzalezc/python-awesome
Learn Python, Easy to learn, Awesome
gjogonzalezc/ReliabilityBookScripts
In this repository you will find scripts, datasets, examples developped in the book "System Reliability Theory; Models, Statistical Methods and Applications" by M. Rausand, A. Barros, A. Høyland (Wiley Edition).
gjogonzalezc/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
gjogonzalezc/stancon_talks
Materials from Stan conferences
gjogonzalezc/tribAIn
tribAin - ontology for scientific experiments in the domain of tribology