Visualizing Stock Positions and Historical Movements, Yahoo Finance, Google (Googl) Stock
In this video tutorial, we will show you how to import stock market data from websites such as Yahoo Finance,…
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Expected Returns (Finance/Risk Management) using PyPortfolioOpt
Today we will calculate expected returns from historical data. We will calculate Mean historical return, Exponential Moving Average (EMA) historical…
Decomposition Tree and Ribbon Chart, Sales by Year, Region, Store, Product and Sale Type
Today we will to create decomposition trees and ribbon charts using DTS Sales data (https://docs.google.com/spreadsheets/d/1FbeFtMlB-CcrOnfWW39SdcIWXyLJm5qy/edit?usp=sharing&ouid=111966831820301688680&rtpof=true&sd=true). We will show Sales by…
Sales and Profit Report by Date, Country, Product and Segment
In this power bi video, we will create a Power BI report using Financial Sample (https://go.microsoft.com/fwlink/?LinkID=521962) Excel Workbook by Microsoft….
Why you should not trust a stocks prediction model
In this video we will demonstrate how a model predicting stock exchange data can be all wrong even though it…
How to save, reload and reuse a machine learning model in Python
In this tutorial we will show you how to: – Read a csv file using pandas – Split training and…
Dimensional Model Report using Adventure Works sample data
Today we will show you how to: – Import data from MS Excel – Create dimensional model – Create relational…
How to classify data using K Nearest Neighbors, Neighborhood Components Analysis and Pipline
In this video we will show you how to: – Extract data from CSV into a python dataframe using Pandas…
Machine Learning, Classification using Nearest Centroid Classifier
In this tutorial, we will show you how to: – Read a csv file using Pandas library – Create and…
Web Scraping using Pandas, How to import HTML table from Wikipedia
In this video, we will show you how to: – Import html table into python dataframe using Pandas – Select…