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574 видео
Implied Volatility estimated in Google Colab using C++ Bisection Function
GARCH implemented using C++ code in Google Colab with data read from content folder using ifstream
Scrape option chain data using yfinance Python script in Google Colab
Combining R and Python in Google Colab to estimate Black Scholes Greeks and make comparisons
Diamonds ggplot2 Visualization using R Tidyverse suite in RStudio
Data Extraction Automation: pandas for Financial Analysis
Kings County WA House Price Dataset Introduction and Data Description using Python notebook in Colab
Google Colab Charts: Matplotlib: Subplotting using subplot2grid, 3D Scatter Plots, Altair vs. Plotly
Install Tidyverse R package and run in Google Colab
Data Transformation and Visualization using Google Colab
R Script in Google Colab with MPG dataset applying ggplot2 syntax
Automation of Annuity Time Values using Python: a used case in RPA optimization
Automation of Bond Pricing and Mortgage Repayment Scheduling with Python
Calculating Portfolio Variance using the Variance Covariance Matrix in Excel
Running pandas in google colab: a quick introduction
Automating your Excel spreadsheet with Form Controls and recording macros to produce a menu page
ggplot2 visualization of the palmerpenguins dataset
Building an event window into the CAPM using a dummy variable
Create an Amortizing Schedule user defined R function for Excel
Data transformation using the tidyverse dplyr package and the palmer penguin dataset in Google Colab
The FT Bank Fines Dataset (2007 - 2015): Web Scraping with Pandas, Beautiful Soup and Requests
ISLP a key resource for practitioners of Robotic Process Automation
The JP Morgan Chase Python Training Course
Kris Ruigrok | Graduate of TU318 | Masters of Finance | 2018 | TU Dublin
Google Colab Charts: Line Plots, Histograms, Bar plots, Scatter Plots, Pie and Stack Charts
Statistics for Data Science using Python (Github resources)
Cormac Grogan | Graduate of TU318 | Masters of Finance | 2015 | TU Dublin
Jeff McCann | Graduate of TU318 | Masters of Finance | 2017 | TU Dublin
Key Skills for Data Analysts
The JP Morgan Chase Python Training Course: yield curve visualization with chatgpt copilot
data manipulation for palmerpenguins using pandas
Developing a Literature Review for Machine Learning in Finance and Economics
Two ways to run R code in Google Colab
Introduction to Swaps
Estimating the zero coupon rate or zero rates using the bootstrap approach and with excel linest
Calculating the Variance Covariance Matrix of stock Returns in Python
Wrapping C++ Backend code and accessing through Python in Google Colab
Anaconda Navigator Installation, testing Spyder/Jupyter Notebook (and setting password )
Automating standard computations in Finance and Accounting using code posted on Github
Trinomial Model 1
Running Matlab code in Google Colab
Combining R and Python Scripts together in shared Google Colab project for nycflights13 dataset
Running R and RMetrics functions from Excel spreadsheet cells
An investigation into Racial Discrimination in Mortgage Lending: Loading HMDA Data into Google Colab
Black Scholes Greeks using the Derivmkts R package with standard graphing and ggplot2
Setting Up Black Scholes in a userform
ggplot2 visualization in google colab with R runtime
The Normal Distribution Tables and Black Scholes Model (1973)
Simple Regression with R commands in Google Colab
Visualization using pandas, matplotlib, seaborn, altair and google colab
Share (view only) Hyperlink for Google Colab project