PabloJMoreno
Business Data Scientist, Emerging Data Engineer and Project Manager (Agile / Scrum) who understands business, engineering and FinOps.
MLBI.IO Inc
Pinned Repositories
Algorithmic-Trading-with-Python-Cookbook
Algorithmic Trading with Python Cookbook, published by Packt
Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
dataset
datasets for ML experiments
datatable
A Python package for manipulating 2-dimensional tabular data structures
Driving-Data-Quality-with-Data-Contracts
Julia-tutorial-esp
Tutorial de Julia en Español - de 0 a Machine Learning
mlbi_powerbi_r_python
Machine Learning en Power BI con R y Python
my_projects
personal projects
PabloJMoreno
Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
PabloJMoreno's Repositories
PabloJMoreno/Algorithmic-Trading-with-Python-Cookbook
Algorithmic Trading with Python Cookbook, published by Packt
PabloJMoreno/my_projects
personal projects
PabloJMoreno/dataset
datasets for ML experiments
PabloJMoreno/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
PabloJMoreno/GLiNER
Generalist model for NER (Extract any entity types from texts)
PabloJMoreno/mlops-coding-course
Learn how to create, develop, and maintain a state-of-the-art MLOps projects
PabloJMoreno/mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
PabloJMoreno/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
PabloJMoreno/10-Machine-Learning-Blueprints-You-Should-Know-for-Cybersecurity
10 Machine Learning Blueprints You Should Know for Cybersecurity, published by Packt
PabloJMoreno/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
PabloJMoreno/creditpy
A Credit Risk Scoring and Validation Package
PabloJMoreno/datachain
DataChain 🔗 Process and curate unstructured data using local ML models and LLM calls
PabloJMoreno/fabric-samples
Samples and data for Microsoft Fabric Learn content
PabloJMoreno/fabric_cat_tools
Documentation for the fabric_cat_tools library
PabloJMoreno/FabricMonitoring
PabloJMoreno/FinRL
FinRL: Financial Reinforcement Learning. 🔥
PabloJMoreno/free-programming-books
:books: Freely available programming books
PabloJMoreno/Kusto-Query-Language
Kusto Query Language is a simple and productive language for querying Big Data.
PabloJMoreno/langchain
⚡ Building applications with LLMs through composability ⚡
PabloJMoreno/langflow
⛓️ Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity.
PabloJMoreno/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
PabloJMoreno/LLM-Finetuning
LLM Finetuning with peft
PabloJMoreno/llmops-with-haystack
PabloJMoreno/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
PabloJMoreno/quantstats
Portfolio analytics for quants, written in Python
PabloJMoreno/quix-streams
100% Python stream processing with Streaming DataFrames
PabloJMoreno/semantic-link-labs
Early access to new features for Microsoft Fabric's Semantic Link.
PabloJMoreno/skfolio
Python library for portfolio optimization built on top of scikit-learn
PabloJMoreno/StochasticSimulation
Materials for doing stochastic simulations with Julia
PabloJMoreno/superset
Apache Superset is a Data Visualization and Data Exploration Platform