ipocan's Stars
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
cookiecutter/cookiecutter
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
iterative/dvc
🦉 Data Versioning and ML Experiments
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
great-expectations/great_expectations
Always know what to expect from your data.
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
gedeck/practical-statistics-for-data-scientists
Code repository for O'Reilly book
dennybritz/nn-from-scratch
Implementing a Neural Network from Scratch
Esri/arcgis-python-api
Documentation and samples for ArcGIS API for Python
ProsusAI/finBERT
Financial Sentiment Analysis with BERT
towardsai/tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
tatsath/fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Liquid-Legal-Institute/Legal-Text-Analytics
A list of selected resources, methods, and tools dedicated to Legal Text Analytics.
boyboi86/AFML
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
PacktPublishing/Applied-Machine-Learning-Explainability-Techniques
Applied Machine Learning Explainability Techniques, published by Packt
doda/advances-in-financial-ml-notes
janlukasschroeder/sec-api
sec.gov EDGAR API | search & filter SEC filings | over 150 form types supported | 10-Q, 10-K, 8, 4, 13, S-11, ... | insider trading
khuyentran1401/top-github-scraper
Scape top GitHub repositories and users based on keywords
peng3738/Selfstudy-note-for-advances-in-financial-machine-learning
Notebook for <Advances in Financial Machine Learning> using Python 3.7
rasgointelligence/RasgoTransforms
SQL-based transforms compatible with Rasgo and PyRasgo
AntonioBlago/Webpage_Tutorial_2
Here you learn how to implment plotly in your web app or website.
AntonioBlago/Webpage_Tutorial_4
In this tutorial I am showing how you can create stock database and connect it to a flask app.
madmashup/targeted-marketing-predictive-engine
This project contains a banking dataset from UCI's website. I have created a predictive modeling engine using scikit-learn that will determine if a customer will avail to a Certificate of Deposit(CD) or not. Logistic Regression with Cross Validation training hyperparameters has been used for modeling and evaluation purposes.
nafiu-dev/stock_prediction_using_LSTM
google stock price prediction using lstm
ipocan/finance_ml
Advances in Financial Machine Learning
ipocan/Interview
Interview = 简历指南 + LeetCode + Kaggle
Soham2028/Loan-Default-Prediction