Category: Data-Driven Tech
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Using AI/ANN AUC>90% for Early Diagnosis of Cardiovascular Disease (CVD)
The project utilizes AI-driven cardiovascular medicine with a focus on early diagnosis of heart disease using Artificial Neural Networks (ANN). Aiming to improve early detection of heart issues, the project processed a dataset of 303 patients using Python libraries and conducted extensive exploratory data analysis. A Sequential ANN model was subsequently built, revealing excellent performance…
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Overview of AWS Tech Portfolio 2023
This summary focuses on the extensive capabilities of Amazon Web Services (AWS) by 2023, highlighting its 27% year-on-year growth and a net sales increase to $127.1 billion. AWS emerges as the top cloud service provider, offering over 200 services including compute, storage, databases, networking, AI, and machine learning. It is constantly expanding operations, having opened…
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Gold Price Linear Regression
This content focuses on predicting gold prices using machine learning algorithms in Python. With an 80% R2-score and a Sharpe ratio of 2.33, it suggests a potential 8% revenue from an investment starting in December 2022. The forecasted next-day price for SPDR Gold Trust Shares is $185.136, aligning with Barchart’s “100% BUY” signal.
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90% ACC Diabetes-2 ML Binary Classifier
A study aims to develop an ML-driven e-diagnosis system for detecting and classifying Type 2 Diabetes as an IoMT application. By leveraging advanced supervised ML algorithms, the system can predict a person’s diabetes risk based on several factors, provide a preliminary diagnosis, and relay doctor’s guidance on diet, exercise, and blood glucose testing. The Pima…
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Applying a Risk-Aware Portfolio Rebalancing Strategy to ETF, Energy, Pharma, and Aerospace/Defense Stocks in 2023
The post discusses applying Guillen’s algorithm for risk-aware portfolio rebalancing, using Python. It incorporates five different stocks with specific weight allocations within an initial portfolio of $1,000,000. The post demonstrates setting the parameters for portfolio, importing required libraries, downloading input data, setting algorithmic rules for rebalancing, calculation of shares and portfolio values, and plotting visualizations.…
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Post-SVB Risk Aware Investing
The recent collapse of Silicon Valley Bank and its repercussions have prompted a reevaluation of risk-aware investing in the US financial sector. The crisis has exposed the vulnerability of banks invested in long-term fixed income assets, highlighting the importance of diversification and risk management. Market indicators suggest continued volatility and uncertainty, urging investors to exercise…
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LSTM Price Predictions of 4 Tech Stocks
The given content explains the process of using Exploratory Data Analysis (EDA) and Long Short-Term Memory (LSTM) Sequential model for comparing the risk/return of four major tech stocks: Apple, Google, Microsoft, and Amazon, considering the tech scenario in 2023. The analysis involves examining stock price patterns, their correlations, risk-return assessment, and predicting stock prices using…
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About Face Recognition ML Algorithms
Facial Recognition (FR) involves mapping an individual’s facial features mathematically and storing the data as a faceprint. This case study outlines the process of Exploratory Data Analysis (EDA) and performance QC analysis for ML/AI workflows using public-domain datasets and real-time webcam GUI. The study includes the use of SVM for FR, dataset splitting, ML model…
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Towards Max(ROI/Risk) Trading
This post compares 1-year ROI/Risk of selected stocks vs ETF using stock analyzer functions. It includes comparing prices, visualizing annual risk and return, and examining correlation matrix of stock returns. It provides insights for selecting CPB stock for trading based on low correlation with ^GSPC, high return (~20%), and low risk (~23%).
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AI-Driven Object Detection & Segmentation with Meta Detectron2 Deep Learning
The post introduces Detectron2, a powerful object detection and image recognition platform developed by Facebook AI Research (FAIR). It discusses the platform’s applications in computer vision research and production, as well as its capabilities such as panoptic segmentation and Densepose. The post also covers aspects of using Detectron2, including installation, model training, and inference, and…
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SARIMAX Crude Oil Prices Forecast – 2. Brent
This study focuses on validating the EIA energy forecast for the 2023 Brent crude oil spot price using SARIMAX time-series cross-validation. It includes prerequisites, data loading, ETS decomposition, ADF test, SARIMAX modeling, predictions, model evaluation, and summary. The predictions align with the EIA forecast, with discrepancies within predicted confidence intervals.
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Comparison of Global Growth Stocks – 2. AZN
Summary: A comprehensive QC assessment of top growth stocks in Q1’23 was conducted, focusing on A-rated AstraZeneca PLC (AZN) in the biopharmaceutical industry. The company’s financial indicators, technical analysis, and algorithmic trading signals were analyzed. Backtesting showed a 34% profit from investing in AZN, outperforming the benchmark by 50%.
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Comparison of U.S. Growth Stocks – 1. WMT
The U.S. labor market and consumer spending are robust despite economic challenges. Bank of America reports a 5.1% rise in credit and debit card spending in January. The focus is on A-rated growth stocks like Walmart Inc. (WMT), with promising metrics and technical indicators supporting a Strong Buy sentiment. Algo trading with DI shows successful…
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Trending YouTube Video Data Science, NLP Predictions & Sentiment Analysis
Table of Contents Global YT WordCloud Let’s begin with the Kaggle YT TextHero dataset containing 3599 rows and 4 columns. Let’s set the working directory YOURPATH import osos.chdir(‘YOURPATH’) os. getcwd() and import all necessary modulesfrom wordcloud import WordCloud, STOPWORDSimport matplotlib.pyplot as pltimport pandas as pd Let’s read the input dataset df = pd.read_csv(r”youtube0.csv”, encoding =”latin-1″)…
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Turkey/Syria Earthquake Live Knowledge Update & Charity Guide
Turkey has recently experienced a high frequency of earthquakes, the largest being a magnitude of 7.8 near Nurdağı, Gaziantep, on February 6th, 2023. This was one of the most powerful earthquakes in the country’s history, resulting in over 22,000 deaths and significant damage across Southern Turkey and Northern Syria. The aftermath left many survivors homeless,…
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Testing & Applications of Best AI Content Detector vs Generator APIs
This is an AI-powered digital marketing project that tests and discusses applications of top AI content detectors and generators. It reviewed 14 AI content generator and 5 AI detector APIs for 2023 and tested for results. It additionally explored utilizing AI to improve SEO performance, including competitor analysis, discovery of high-potential keywords and topics, and…
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SARIMAX Crude Oil Prices Forecast – 1. WTI
The content discusses a detailed forecast of Brent and WTI oil prices for 2023, using Python, SARIMAX and Time Series Analysis. The data indicates volatility in the oil market starting 2023, with prices set to decrease from 2022 levels. Experts also warn of a potential US recession in 2023, which could further impact the oil…
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Comparative ML/AI Performance Analysis of 13 Handwritten Digit Recognition (HDR) Scikit-Learn Algorithms with PCA+HPO
Featured Photo by Torsten Dettlaff on Pexels The article consists of the following three parts: 3. Unsupervised ML using the Principal Component Analysis (PCA) for the dimensionality reduction within Parts 1 and 2. Our main goal is to build a text and graphics report comparing the main scikit-learn classification metrics: accuracy_score, classification_report (precision, recall, and…
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Case Study: Multi-Label Classification of Satellite Images with Fast.AI
The post discusses the use of satellite image classification in remote sensing to identify objects such as buildings, woodlands, and water areas. It highlights the application of a machine learning technique using Fast.ai on the Planet dataset, which comprises satellite images of diverse scenes. The method involves training a model with pre-selected classes for accurate…
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Multi-Label Keras CNN Image Classification of MNIST Fashion Clothing
Machine learning and deep learning are invaluable in optimizing supply chain operations in fashion retail. Even smaller retailers are leveraging ML algorithms to meet customer demands. Neural network models, particularly Convolution Neural Networks (CNN) are used to classify clothing images, like the Fashion-MNIST dataset, with high accuracy. Hyperparameter optimization using GridSearchCV and Nadam optimizer are…
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