Name: Lorenzo Cárdenas Cárdenas
Type: User
Company: Txool
Bio: BA. Economics and Finance, with experience in business administration and investment projects, Skills in Data analysis, and Data Science with Python.
Location: Saltillo Coahuila Mexico
🔭 I’m currently working on FinRatioAnalysis
🌱 I’m currently learning Databricks Machine Learning Framework
👯 I’m looking to collaborate on Data science and Machine Learning proyects
🤝 I’m looking for help with Machine Learning development
💬 Ask me about Machine Learning and Data Sience
📫 How to reach me [email protected]
📄 Know about my experiences https://drive.google.com/file/d/1p3nWmkJ__jHczIjFW26W0ENeGdc9ER6q/view?usp=sharing
-scalable-machine-learning-with-apache-spark-english
Databricks ML course
algebra_lineal
Ejercicios de algebra lineal en python
analisis_financiero
Análisis Financiero
azure-tdsp-projecttemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
azure-tdsp-utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
cool-gifs-for-github
🤝 Awesome List of GIFs & avatars to use in GitHub.
credit_risk_ml
Credit Risk Machine Learning Model
data_engineering
econometria
Modelos de Regresión Lineal
financetoolkit
Transparent and Efficient Financial Analysis
finratioanalysis
forecast_ebitda
Machine Learning Model on Ebitda
ibmdecisionoptimization-tutorials
IBMDecisionOptimization/tutorials
ldatopicmodelling
In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food reviews dataset from Kaggle(https://www.kaggle.com/snap/amazon-fine-food-reviews) for performing LDA based topic modelling I will be using the gensim package for LDA topic modelling and pyLDAvis for visualization of LDA
lorenzo1285
macro
Analisis del Macroeconomicos
markdown-intro
microsoft-tdsp
Repository for Microsoft Team Data Science Process containing documents and scripts
nlp
NLP proyect
nlp-using-pycaret
numpy_financial
odpi-opends4all
plotly_dashboard_dash
lorenzo1285/Plotly_Dashboard_dash
probabilida_estadistica
ejercicios de probabilidad y estadistica
py4e
Web site for www.py4e.com and source to the Python 3.0 textbook
python_for_finance_cookbook
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
quantstats
Portfolio analytics for quants, written in Python
sap-extractor
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
