msulwa

msulwa's Stars

• ZintleFaltein/Covid-modelling

  Language:Jupyter Notebook11

• ieokwuch/Time-Series-Modelling-of-Fresh-Food-Prices-Using-ARIMA-models

  The price of food products is largely assumed to increase over time. In this study, an analysis is done for fresh food products to see how the prices behave and then an attempt is made to forecast future prices. The case study here is apples. In particular, we consider apple prices received by growers in the United States from 1980 till date. The data spans from January 1980 to August 2018 as this was the only period where there was consistent data for this particular product. The data is obtained from the United States Department of Agriculture Economic research Service. (USDA-ERS). The time series being analyzed here is a monthly time series. An exploratory data analysis is done to understand the characteristics of the data after which a confirmatory data analysis is done to confirm the initial inferences. ARMA models are fit to both the monthly time series, a forecasting experiment is done to check the model accuracy and minimum mean square error forecasts are used to predict future prices.

  Language:MATLAB61

• PatWalters/workshop

  Language:Jupyter Notebook6231

• kgjenkins/ophz

  Open Plant Hardiness Zones

  Language:QML2817

• waldoj/frostline

  A dataset, API, and parser for USDA plant hardiness zones.

  Language:Python14925

• okoeth/pacer-app

  Language:Python1

• oliver-koeth/pacer-lit

  Streamlit app for trail running pace predictions

  Language:Python1

• italocosilva/sba-probability-of-default

  Predicting Probability of Default of US Small Business Administration

  Language:Jupyter Notebook3

• veekshamadhu/Predicting-Loan-Default

  Using SBA data to predict which SMEs are likely to default on their loan payments.

  Language:R1

• Pavi517/Basic-EDA-on-consumer-financial-protection-bureau-dataset-

  This Python notebook walks through the basic EDA and insights on how various credit reporting companies have handled consumer complaints.

  Language:Jupyter Notebook11

• damian-vather/Interview-Questions

  Data Science Interview Question and Preparation Documentation

  2556

• tomwrx/HomeCredit_Bureau_Loan_Analysis

  Language:Jupyter Notebook1

• ChadFulton/tsa-notebooks

  Jupyter notebooks on time series econometrics topics.

  Language:Jupyter Notebook272172

• tgaye/markov_switching

  implements markov switching dynamic regression and markov switching autoregressive model.

  Language:Jupyter Notebook41

• realmistic/PythonInvest-basic-fin-analysis

  Set of notebooks for a basic financial analysis for stocks investing with Python

  Language:Jupyter Notebook6116

• adamFinastra/ESGAI

  Putting the Data in ESG

  Language:Python269

• hannahawalsh/ESG_AI

  Language:Python8639

• mukut03/ESG-BERT

  Domain Specific BERT Model for Text Mining in Sustainable Investing

  Language:Python12442

• werew/inverno

  An easy-to-use investment portfolio tracker

  Language:CSS22720

• OpenAPC/openapc-de

  Collect and disseminate information on fee-based Open Access publishing

  Language:Python119118

• susanli2016/NLP-with-Python

  Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

  Language:Jupyter Notebook2.7k2k

• abhinavkashyap/sciwing

  SciWING is a modern toolkit for scientific document processing from WING-NUS

  Language:Python6115

• swarnathota/NLP-with-COVID-literature

  Topic Modeling with COVID-19 literature

  Language:Jupyter Notebook1

• adaj/topic-modeling-scientific-literature

  Topic modeling gist for a preliminary review of your scientific literature

  Language:Jupyter Notebook2

• StephaininZ/topic-model-medical-papers-covid19

  Natural Language Processing on COVID-19 medical literature papers

  Language:Jupyter Notebook1

• UWNETLAB/metaknowledge

  A Python library for doing bibliometric and network analysis in science and health policy research

  Language:Python16337

• covid-bib/bibliometric

  Scripts used in analyzing bibliometric data of COVID-19 research.

  Language:Python11

• derekgreene/topic-model-tutorial

  Tutorial on topic models in Python with scikit-learn

  Language:Jupyter Notebook15650

• oacore/or2016-api-demo

  The source code for the API demo that we did in the OR2016 dev track

  Language:Jupyter Notebook142

• krassowski/multi-omics-state-of-the-field

  Analyses for "State of the field in multi-omics research: from computational needs to data mining and sharing"

  Language:Jupyter Notebook2413