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Reproducibility package (repropack) for generating all the models, results and figures included in the referenced publication. We investigated the effect of femoral anteversion on the joint reactio…
This is the implementation of the paper "Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective". We use some simple Machine Learnign methods and th…
Real-time musculoskeletal kinematics and dynamics analysis using marker- and IMU-based solutions
The problem that this case study is dealing with predicts the location that a user is most likely to book for the first time. The accurate prediction helps to decrease the average time required to …
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
This project extracts financial sentiments from risk factor sections of financial reporting and visually tracks changes over time.
Exploratory sentiment analysis of a firm's management discussion from 10K annual SEC filing
This is a sentiment trading strategy, written in Python, and applying NLP on 10-K's from the SEC EDGAR database.
10Ks are long and boring to read. My goal here is to analyze SEC filings from US stock companies using big data/ML techniques.
Shikhar0605 / Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports
Forked from deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-ReportsA 10-K FInancial Report is a comprehensive report which must be filed annually by all publicly traded companies about its financial performance. These reports are filed to the US Securities Exchang…