Shikhar0605

Shikhar0605's Stars

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

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• mitkof6/OpenSimRT

  Real-time musculoskeletal kinematics and dynamics analysis using marker- and IMU-based solutions

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• guneetnarula/indian-district-boundaries

  Districts of India

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• Paresh-Arvind-Patil/Bankruptcy-Prediction-Growth-Modelling

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• antonyalexos/Accelerometer-Knee-Osteoarthritis-Prediction

  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 the data from OAI.

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• lucaskienast/NLP-on-10Ks-from-EDGAR-DB

  This is a sentiment trading strategy, written in Python, and applying NLP on 10-K's from the SEC EDGAR database.

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• morenobcn/capstone_hotels_arcpy

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• modenaxe/femoral-anteversion-paper

  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 reactions of the lower limb and compared the results against the in vivo loading measured by an instrumented prosthesis (Grand Challenge Dataset).

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• NamrataThakur/Airbnb-New-User-Prediction

  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 book by sharing more personalized recommendations and also in better forecasting of the demand. We use the browser’s session data as well as the user’s demographic information that is provided to us to create features that help in solving the problem.

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• RaghuveerRao/Sentiment-Analysis

  Exploratory sentiment analysis of a firm's management discussion from 10K annual SEC filing

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• ruthlee/10K_analysis

  10Ks are long and boring to read. My goal here is to analyze SEC filings from US stock companies using big data/ML techniques.

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• JinuAugustine98/Financial-and-Sentimental-Data-Analysis-of-SEC-Edgar-Reports

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• Shikhar0605/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports

  A 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 Exchange Commission (SEC). This is even more detailed than the annual report of a company. The 10K documents contain information about the Business' operations, risk factors, selected financial data, the Management's discussion and analysis (MD&A) and also Financial Statements and supplementary data. I have been expected to build an NLP pipeline that ingests 10-K reports of various publicly traded companies and build a machine learning model which can uncover the hidden signals to predict the long term stock performance of a company from the 10-K docs using the ‘Loughran McDonald Master Dictionary’. The Dictionary contain words that are specifically curated in the context of financial reports

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• yzyzy/CMU_capstone

  This project extracts financial sentiments from risk factor sections of financial reporting and visually tracks changes over time.

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