Alternatives and similar repositories for predicting-angelist-startup-performances:

Users that are interested in predicting-angelist-startup-performances are comparing it to the libraries listed below

• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆41Updated this week
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆72Updated this week
• microprediction / winning
  Inference of relative ability from winning probabilities
  ☆44Updated last month
• keithmcnulty / springer_books
  Download free Springer Books (as at May 2020)
  ☆9Updated 4 years ago
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 5 years ago
• miguel-data-sc / FinQBoost
  Financial Portfolio Quintile Probability Forecaster #2 winner of M6 Financial Forecasting Competition
  ☆14Updated 2 years ago
• bank-of-england / Shapley_regressions
  Statistical inference on machine learning or general non-parametric models
  ☆44Updated 10 months ago
• carstonhernke / scrape-earnings-transcripts
  A simple python script for scraping earnings transcripts from Seeking Alpha
  ☆15Updated 6 years ago
• Qiqipixel / Tidy-finance-with-R-Python-version-
  There are codes teanslated from the book named Tidy finance with R to python which you can get from https://www.tidy-finance.org/.
  ☆19Updated last year
• jrgauthier01 / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆14Updated 6 years ago
• areding / 6420-pymc
  Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.
  ☆28Updated last week
• mdancho84 / quantitative_stock_analysis_tutorial
  The stock analysis R file for computing stock returns and correlations for the S&P500 stock listing.
  ☆36Updated 8 years ago
• David-Woroniuk / Medium-Articles
  Consolidated codes for articles published on Medium
  ☆14Updated 4 years ago
• neptune-ai / neptune-r
  📒 The MLOps stack component for experiment tracking (R interface)
  ☆14Updated last year
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• microprediction / m6entry
  ☆20Updated 2 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 3 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• Xinyi2016 / FInstruct
  ☆14Updated last year
• Garve / mamimo
  A package to compute a marketing mix model.
  ☆70Updated last year
• microprediction / microactors-causality
  Examples of causality maps for time series driven by GitHub actions
  ☆15Updated last year
• rosannelai / Expected-Credit-Loss
  Lifetime Expected Credit Loss calculation under IFRS 9
  ☆12Updated 7 years ago
• uc-python / intermediate-python-datasci
  Intermediate Python for Data Science Workshop
  ☆24Updated 7 months ago
• deburky / boosting-scorecards
  Boosting scorecards
  ☆12Updated last week
• yy-lam / earnings-call-text-mining
  A project about text mining on earnings call conference
  ☆9Updated 2 years ago
• freekholvoet / NNforFreqSevPricing
  Neural networks for insurance pricing with frequency and severity data
  ☆10Updated last year
• enexqnt / RBAA
  Regime Based Asset Allocation with MPT, Random Forest and Bayesian Inference
  ☆25Updated 2 years ago
• vcerqueira / performance_estimation
  Performance estimation for time series forecasting tasks
  ☆38Updated 4 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆19Updated 10 months ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated 5 months ago