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automated-matching-of-patients-to-clinical-trials

Automated Matching of Patients to Clinical Trials: A patient-centric, Natural Language Processing Approach for Pediatric Leukemia

blog

Code and data for my blogs

codes

important general codes

cookbook

A repository of machine learning codes written for re-usability

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

dataprocessing_python

Basic data processing functions

diabetes-prediction-app

Streamlit Web App to predict the onset of diabetes based on diagnostic measures

driverlessai-recipes

Recipes for Driverless AI

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

fecon236

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

flowise

Drag & drop UI to build your customized LLM flow

flowiseai-railway

llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

llmops

machine-learning-for-trading

Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading

mlops

learning end to end mlops

my-data-science-projects

This folder contains all of my Data Science Projects

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

senn

Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

test

the-grand-complete-data-science-materials