Alternatives and similar repositories for Lectures:

Users that are interested in Lectures are comparing it to the libraries listed below

• jieqian2 / Numerical-Methods-in-Finance
  This file includes the code I've written for the course Numerical Method in finance, Stochastic Calculus in Spring 2020.
  ☆9Updated 4 years ago
• AndrewLyasoff / SMAP
  Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2…
  ☆23Updated 4 years ago
• quantgirluk / ICMM
  📝 Introduction to Monte Carlo methods in Finance Workshop Materials
  ☆17Updated 2 years ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆73Updated last year
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆33Updated 2 years ago
• Hvass-Labs / InvestOps-Tutorials
  Tutorials for the InvestOps Python package
  ☆12Updated 3 years ago
• ctanujit / MATH350
  Statistical Inference Course
  ☆41Updated 3 months ago
• marcopeix / intermittent_time_series
  ☆13Updated last year
• ymlai87416 / ComputationalFinance_notebook
  Notebook and assignment for Coursera course: Introduction to Computational Finance and Financial Econometrics by Eric Zivot
  ☆11Updated 6 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆51Updated 7 months ago
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated 4 months ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆21Updated 2 years ago
• bashtage / kevinsheppard.com
  My Personal Site
  ☆12Updated last year
• PacktPublishing / XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis
  XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt
  ☆26Updated 2 months ago
• QuantEcon / lecture-python-advanced.notebooks
  Notebooks that support https://python-advanced.quantecon.org
  ☆18Updated last month
• xRiskLab / xBooster
  Explainable Boosted Scoring
  ☆14Updated 6 months ago
• AIM-IT4 / InterestRateModelsCpp
  ☆23Updated last year
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆28Updated last month
• abzemkoho / forecasting
  ☆28Updated 3 years ago
• JackJacquier / StatsForFinance
  Statistical Methods in Finance
  ☆14Updated 3 years ago
• terence-lim / actuarialmath
  Solving Actuarial Math with Python
  ☆10Updated last year
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆71Updated last week
• PacktPublishing / Hands-On-Simulation-Modeling-with-Python-Second-Edition
  Hands-On Simulation Modeling with Python, Second Edition, published by Packt
  ☆31Updated last year
• yhilpisch / aifin
  Resources for the AI in Finance Workshop at Texas State University (October 2023).
  ☆50Updated last year
• cvxgrp / exp_util_gm_portfolio_opt
  Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.
  ☆20Updated 10 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• bashtage / AFE2020
  Advanced Financial Econometrics - Trinity Term 2020
  ☆28Updated 4 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆51Updated 7 months ago
• cvxgrp / cvxrisk
  Compile risk with cvxpy
  ☆13Updated last week
• lnsongxf / Applied_Computational_Economics_and_Finance
  ECON457 2018 Applied Computational Economics and Finance
  ☆27Updated 7 years ago