Category: Business Intelligence
-
(S)ARIMA(X) TSA Forecasting, QC and Visualization of E-Commerce Food Delivery Sales
Featured Photo by Ella Olsson on Pexels Inspired by the recent TSA e-commerce use-case, this article is a beginner-friendly guide to help you understand and evaluate ARIMA-based time-series forecasting models such as SARIMA and SARIMAX. Objective: To understand the basic concepts of ARIMA, SARIMA and SARIMAX in terms of Time Series Forecasting QC. Application: We will […]
-
Stock Market ’22 Round Up & ’23 Outlook: Zacks Strategy vs Seeking Alpha Tactics
Featured Photo by Pixabay Contents: Zacks Market Research 2022 has been a strong year for jobs: Commodity markets: Energy: Global Investments: In the Zacks October 2022 Chief Investment Officer (CIO) survey, the CIOs made it fairly clear how they felt about investing outside the US. Answer: not great. Corporate High Yield and Investment Grade Bonds:In […]
-
Interactive Global COVID-19 Data Visualization with Plotly
Featured Photo by Artem Podrez on Pexels. Coronavirus Country Profiles: The Value of COVID-19 Data Analytics: Using COVID-19 data to fight and contain the pandemic with data science/analytics and interactive visualization is critical to protect public health and save lives. Using global data through mobile & web applications will allow us to beat COVID-19 faster. […]
-
DJI Market State Analysis using the Cruz Fitting Algorithm
Based upon the Cruz stochastic fitting algorithm and the colab code implementing a Hidden Markov Model, let’s predict the DJI stock returns from 1970 to 2022 and detect three states such as bull (green), sideways (yellow) and bear (red) markets. Let’s set the working directory YOURPATH import osos.chdir(‘YOURPATH’) os. getcwd() and import/install the following libraries […]
-
Cloud-Native Tech Autumn 2022 Fair
Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic
-
BTC-USD Price Prediction with LSTM Keras
The objective of this project is to test the deep learning algorithm of real-time BTC-USD price prediction. We trained the 2-layers Long Short Term Memory Neural Network using Bitcoin Historical Data. The trained LSTM model can be used to predict future price movements of bitcoin. RMSE ~ $64, with the mean price of $20k (Oct ’22), which means the prediction error ~0.3%. The model performance is excellent, with an error of only tens of USD.
-
Power BI for Data Science
Get Started Now at PowerBI.com Join the Group: Power BI For Data Science What is Power BI? Microsoft’s business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and insights throughout their organization. Power BI provides insight data by using data interactively and exploring it by visualizations. […]
-
Technology Focus Weekly Update 16 Oct ’22
Get top data-driven technology highlights of the week: new SaaS products, tech business applications and learnings of the week: DevOps, DevSecOps, Cybersecurity, public cloud platforms (AWS/GCP/Azure), MarTech, ML/AI, MLOPs, NLP, edtech, e-courses, upcoming events, and related Infographics. Contents: DevOps November 8th, 2022 | 11 a.m. ET Providing reliable and secure services doesn’t just happen. Traditionally, […]
-
Portfolio Optimization Risk/Return QC – Positions of Humble Div vs Dividend Glenn
Based upon the Portfolio Optimization Algorithm (POA) discussed earlier and the relevant POA QC use-case (positions of The Dividend Breeder), let’s run the similar algorithm to compare top 5 stock positions of Humble Div (HD) vs Dividend Glenn (DG) in terms of the Risk/Return Ratio (RRR) or RRR1=1/RRR. Let’s define the following common POA parameters: […]
-
US Real Estate – Harnessing the Power of AI
This is the continuation of our recent use-case series dedicated to the real estate (RE) monitoring, trend analysis and forecast. In these series, the focus is on the US house prices by invoking supervised machine learning (ML) and artificial intelligence (AI) algorithms available in Python as it is the language with the largest variety of libraries on the […]
-
Cloud-Native Tech Status Update Q3 2022
Cloud Computing Trends Q3 2022, market Share update key services IaaS PaaS FaaS Saas Cloud digital transformation all-the-way DevSecOps CI/Cd GitLab MLOps IoT Tech GCP gateway Big data Deloitte use-cases Stock markets Health Tech Cybersecurity Highlights Events Webinars AWS Storage E-training
-
The Qullamaggie’s TSLA Breakouts for Swing Traders
This project was inspired by the Qullamaggie’s breakout strategy for swing traders implemented as a simple stock scanner in Python. We will download the TSLA historical data from Yahoo finance. Let’s set the working directory YOURPATH and import libraries import os os.chdir(‘YOURPATH’) os. getcwd() import numpy as npimport pandas as pdimport yfinance as yf import […]
-
Simple E-Commerce Sales BI Analytics
Good businesses learn from previous efforts and test future ideas using e-commerce analytics (ECA). ECA enable you to delve deep into historical BI data, and future forecasting so that you can make the optimized business decisions. The key benefits of ECA are as follows: Let’s look at the warehouse optimization problem by analyzing Kaggle sales […]