Pinned Repositories
14_Sistemas_Recomendacion
AnomalyDetection
Anomaly Detection with R
bash-essentials
bigdata-workshop-es
Workshop Big Data en Español
codes_for_articles
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
darts
A python library for easy manipulation and forecasting of time series.
Data-Engineering---Basics-of-Apache-Airflow---Build-Your-First-Pipeline
Repository for the following medium article : Data Engineering - Basics of Apache Airflow - Build Your First Pipeline
devtools
Tools to make an R developer's life easier
game-theory-attribution
Game Theory model for multichannel marketing attribution
D3MI4N's Repositories
D3MI4N/codes_for_articles
D3MI4N/14_Sistemas_Recomendacion
D3MI4N/AnomalyDetection
Anomaly Detection with R
D3MI4N/bash-essentials
D3MI4N/darts
A python library for easy manipulation and forecasting of time series.
D3MI4N/Data-Engineering---Basics-of-Apache-Airflow---Build-Your-First-Pipeline
Repository for the following medium article : Data Engineering - Basics of Apache Airflow - Build Your First Pipeline
D3MI4N/devtools
Tools to make an R developer's life easier
D3MI4N/game-theory-attribution
Game Theory model for multichannel marketing attribution
D3MI4N/gcp-ml
Google Cloud Platform Machine Learning Samples
D3MI4N/git
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
D3MI4N/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
D3MI4N/keras
Deep Learning for humans
D3MI4N/kmeansChardonnay
Kmeans clustering and NLP on Chardonnay reviews
D3MI4N/LAB-ML-ITBA
D3MI4N/mathematics-for-machine-learning-cousera
quizzes/assignments for mathematics for machine learning specialization on coursera
D3MI4N/medium_articles
Scripts/Notebooks used for my articles published on Medium
D3MI4N/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
D3MI4N/mta
Multi-Touch Attribution
D3MI4N/pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
D3MI4N/perspectiveapi
Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a conversation. For support, see: https://support.perspectiveapi.com/
D3MI4N/pydata-docker-tutorial
Tutorial given at PyData LA 2018
D3MI4N/python-patterns
A collection of design patterns/idioms in Python
D3MI4N/qgrid
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
D3MI4N/r-recipes
R Recipes
D3MI4N/Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
D3MI4N/shap
A game theoretic approach to explain the output of any machine learning model.
D3MI4N/springer_free_books
Python script to download all Springer books released for free during the 2020 COVID-19 quarantine
D3MI4N/starbucks-customer-segmentation
Udacity Data Science Nanodegree Capstone
D3MI4N/twitter-emotion-recognition
Models for predicting emotions from English tweets.
D3MI4N/udemy-scala-beginners