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mljar-supervised

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

modern-artificial-intelligence

Projects that Unleash the Power of AI to Solve Real-World Business Challenges

mongoose-ironhack

Code along - Mongoose Ironhack

msdt-follina

Codebase to generate an msdt-follina payload

nannyml

Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.

nodebestpractices

:white_check_mark: The Node.js best practices list (June 2021)

nosql-database

We are beginning to become familiar with NoSQL databases

pelt-studio

Python ELT Studio, an application for building ELT (and ETL) data flows.

places-backend

places-frontend

plotly.js

Open-source JavaScript charting library behind Plotly and Dash

plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

polars

Fast multi-threaded DataFrame library in Rust | Python | Node.js

portfolio_tracker_medium

pre-processing-data

predict-card-fraud

Create a predictive algorithm (Machine Learning, NOT ANN) to predict if a transaction is fraud (class 1) or not (class 2).

predict-cardano-price

Create a predictive algorithm (Machine Learning or Deep Learning) to predict the correct time to buy cardano and the correct time to sell. Once the predictive algorithm is done, it has to be used with the testing predictors dataset.

predict-client-subscribtions

Create a predictive algorithm (Machine Learning, NOT ANN) to predict if a client will subscribe to a term deposit (variable y).

predict-particles-velocity

Create a predictive Machine Learning (not ANN) algorithm to predict the relative velocity of the particles. The aim is to find the algorithm that minimizes the mean squared error (MSE).

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

probabilidad

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

probability-for-machine-learning-and-big-data-with-r-and-python

programacio_numerica

project-based-learning

Curated list of project-based tutorials

project-management-backend

project-management-frontend

project-tradexc

Ironhack project at end of module 2 of Barcelona Full Stack Web Development Part Time March 2020

prueba-react-scaffold

pruebas

pruebas2