Category: technology
-
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 […]
-
50 Coronavirus COVID-19 Free APIs
Featured Photo by Edward Jenner on Pexels. As the Coronavirus pandemic, also known as COVID-19, continues to spread, staying up-to-date on the most recent information is essential. Keeping up with relevant information, such as new cases, deaths and local infection rates, can help you stay safe and healthy. Additionally, many of these APIs are free […]
-
XOM SMA-EMA-RSI Golden Crosses ’22
Featured Photo by Johannes Plenio on Pexels. Today we will discuss the XOM stock using most basic technical trading indicators (TTIs) within the Python library ta-lib. Recall that this library is widely used by algo traders requiring to perform technical analysis of financial market data. It includes 150+ indicators such as ADX, MACD, RSI, Stochastic, […]
-
Textual Genres Analysis using the Carloto’s NLP Algorithm
Featured Photo by Dominika Roseclay on Pexels. Computational Linguistics (CL) is the scientific study of language. Oftentime, CL is linked to the Python software development based on Natural Language Processing (NLP) libraries. NLP basically consists of combining machine learning (ML) techniques with text, and using math and statistics to get that text in a format […]
-
A Comparison of Binary Classifiers for Enhanced ML/AI Breast Cancer Diagnostics – 1. Scikit-Plot
The goal of this post is a comparison of available binary classifiers in Scikit-Learn on the breast cancer (BC) dataset. The BC dataset comes with the Scikit-Learn package itself. Contents: Data Analysis Let’s set the working directory YOURPATH import osos.chdir(‘YOURPATH’) os. getcwd() and load the BC dataset from sklearn import datasetsdata = datasets.load_breast_cancer() with the […]
-
Build A Simple NLP/NLTK Chatbot
Featured Image – Canva. How Can Chatbots Help Improve Your Bottom-line? A chatbot is a computer program or software that automates conversation with a user. They can be programmed with different responses based on what a user chooses or requests. Chatbots can provide real-time customer support and are therefore a valuable asset in many industries. Contents: You can build an industry-specific […]
-
ML-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder
Featured Photo by Luan Rezende Automatic detection and alarm of abnormal electrocardiogram (ECG aka EKG) events play an important role in an ECG monitor system; however, popular classification models based on standard supervised ML fail to detect abnormal ECG accurately. In this project, we implement an ECG anomaly detection framework based on the recently proposed […]
-
DOGE-INR Price Prediction Backtesting
Featured Photo by Rūdolfs Klintsons Let’s look at the Dogecoin: Dogecoin (DOGE) is traded on CRYPTO Exchanges. Dogecoin is peer-to-peer digital currency powered by the Blockchain technology. Dogecoin is one of many evolving digital currencies in which encryption is used to regulate the generation of units of currency and verify the transactions independently of a central authority. […]
-
Hands-Off USGS Webscraping of Earthquakes- Worldwide (24 Hours)
Featured image USGS Magnitude 2.5+ Earthquakes, Past Day. Forbes: One out of three people in the world is exposed to earthquakes, a number which almost doubled in the past 40 years. On average earthquakes cause nearly US$40 billion in direct economic loss every year, by destroying production sites and disrupting transport lines. Knowing an area’s […]
-
The $ASML Trading Strategies via the Plotly Stock Market Dashboard
Featured Photo by Jeremy Waterhouse. Recently, Dr. Dividend shared his insights into $ASML EUV business. This post is a follow-up based upon the highly interactive Plotly Stock Market Dashboard. Let’s import/install the key libraries !pip install pandas_datareader Successfully installed pandas_datareader-0.10.0 !pip install ta Successfully installed ta-0.10.2 import numpy as npimport pandas as pdfrom pandas_datareader import […]
-
The CodeX-Aroon Auto-Trading Approach – the AAPL Use Case
We implement the CodeX-Aroon auto-trading strategy to examine the AAPL stock 2022 in terms of stock trends, trading signals, positions, backtesting, and benchmarking against SPY ETF. The Aroon indicator is composed of two lines. An up line which measures the number of periods since a High, and a down line which measures the number of periods since a Low. The indicator is typically applied to 25 periods of data, so the indicator is showing how many periods it has been since a 25-period high or low. When the Aroon Up is above the Aroon Down, it indicates bullish price behavior (cf. 2022-04, -08, -11) When the Aroon Down is above the Aroon Up, it signals bearish price behavior (cf. 2022-02, -03, -05, -06, -09, -10). Crossovers of the two lines can signal trend changes. For example, when Aroon Up crosses above Aroon Down it may mean a new uptrend is starting. The road ahead: this indicator should be incorporated into the comprehensive investment/trading risk management and portfolio optimization workflows.
-
ML/AI Breast Cancer Diagnosis with 98% Confidence
We demonstrate the importance of hyperparameter optimization (HPO) for enhancing ML prediction accuracy. Specifically, we will focus on the Random Forest Classifier (RFC) as an ensemble of decision trees. RFC is a supervised ML algorithm that has been applied successfully to the BC binary classification.
-
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
-
Breast Cancer ML Classification – Logistic Regression vs Gradient Boosting with Hyperparameter Optimization (HPO)
Breast Cancer (BC) is the leading cause of death among women worldwide. The present study optimizes the use of supervised Machine Learning (ML) algorithms for detecting, analyzing, and classifying BC. We compare Logistic Regression (LR) against Gradient Boosting (GB) Classifier within the Hyperparameter Optimization (HPO) loop given by GridSearchCV. We use the publicly available BC dataset from the University of Wisconsin Hospitals, Madison, Wisconsin, USA. Feature engineering yields 9 dominant features Results: AUC(LR)=0.987 > AUC(GBM)=0.975 It is clear that LR has the highest f1-score and POS.