Fidel Alberto Ramos's Projects
Resumen: Exploración de los datos relacionados con el Riesgo Crediticio (Credit Score), entendimiento de la distribución de sus variables, patrones y finalmente planteamiento de varios modelos de predicción y selección del que presente mejor ajuste.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Análisis de series de tiempo y análisis financieros con Python: Simulación de Montecarlo, ARIMA, ARIMAX, Análisis de riesgo, portafolio de Markowitz, etc.
The offical notes of Andrew Ng Machine Learning in Stanford University
Github profile README.md with dynamic images generated from React.js components. Inspired by natemoo-re
Portfolio site using React.js
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:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
TensorFlow - A curated list of dedicated resources http://tensorflow.org
🏆 A ranked gallery of awesome streamlit apps built by the community
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges
Course Files for Complete Python 3 Bootcamp Course on Udemy
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
List of Computer Science courses with video lectures.
Curso de python básico orientado al análisis de datos, en español
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
:bar_chart: Path to a free self-taught education in Data Science!
Recopilatorio de materiales de la red sobre Data Science
Data Science and Machine Learning projects with source code.
Data Visualization with Python
Books for machine learning, deep learning, math, NLP, CV, RL, etc
Andrew Ng深度学习Jupyter Notebook (Exercise notebooks for Deep Learning)