Category: Uncategorized

  • Sensitivity of Kalman Object Tracking to Noise & State Errors

    Sensitivity of Kalman Object Tracking to Noise & State Errors

    Featured Foto by AtHul K Anand on Pexels Table of Contents Constant Voltage Alternating Current Linear Trend Path Non-Linear Trend Path Velocity Modeling Acceleration Modeling Circular Motion Robot 2D Location Tracking Notations: (dX, dY) = (XY) position error, (dVx, dVy) = (XY) velocity vector error, e.g. 3D Location Tracking Summary Explore More References

  • Blue-Chip Stock Portfolios for Quant Traders

    Blue-Chip Stock Portfolios for Quant Traders

    This post delves into optimizing blue-chip stock portfolios using Python fintech libraries for private DIY self-traders. It includes steps for examining trading signals, comparing stock returns, performing analyses, and implementing forecast models. The content covers AAPL trading signals, risk vs. ROI analysis, a 4-stock portfolio, Monte-Carlo predictions, SPY return/volatility, and SPY Prophet forecast. The examples…

  • Automating Excel Dashboards with Python

    Automating Excel Dashboards with Python

    The article focuses on setting up Python Excel Automation to optimize repetitive data analysis tasks. It provides a comprehensive step-by-step guide on how to edit Excel data and create interactive dashboards. Also, it highlights creating pivot tables/charts and integrating them with dashboards, thereby providing an effective solution for automating Excel reports.

  • Overview of GCP Tech Portfolio 2023

    Overview of GCP Tech Portfolio 2023

    This article provides an in-depth overview of Google Cloud Platform (GCP) and its comprehensive range of cloud computing services. Notably, GCP has become one of the top public cloud vendors, providing various tools for cloud storage, data analytics, developer options, and advanced machine learning/artificial intelligence. It explains functionalities such as Secure LDAP, Kubernetes Engine, Cloud…

  • Comparison of U.S. Growth Stocks – 3. LYTS

    Comparison of U.S. Growth Stocks – 3. LYTS

    This post provides a comprehensive assessment of select growth stocks in Q1’23. LSI Industries Inc. (LYTS) is highlighted, showing impressive Q1 results and strong growth prospects. The company’s financial performance, technical analysis, and comparison with benchmark ETF are analyzed, indicating a Strong Buy rating and potential 1-year growth of ~25%. Algo-Trading DI backtesting demonstrates a…

  • Multi-Label Keras CNN Image Classification of MNIST Fashion Clothing

    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…

  • ECG Early Warning System (EWS) in Terms of the Heart Stress-Strain Failure Curve

    ECG Early Warning System (EWS) in Terms of the Heart Stress-Strain Failure Curve

    Featured Photo by Anna Shvets on Pexels Explore More AI-Based ECG Recognition – EOY ’22 Status ML-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder Embed Socials Infographic

  • ML/AI Prediction of Wine Quality

    ML/AI Prediction of Wine Quality

    This content discusses the use of ML/AI to predict wine quality by comparing multi-label classifiers and employing various techniques like data preparation, data pre-processing, feature engineering, and predictive modeling. The study concludes that the Random-Forest Classifier performed the best in predicting wine quality. The results were improved using PCA-driven essential variables, SMOTE data balancing, and…

  • COVID-19 Geospatial Data Visualization with Plotly, Geopandas, and Folium

    COVID-19 Geospatial Data Visualization with Plotly, Geopandas, and Folium

    The spread of COVID-19 has enforced the global community to leverage geospatial analysis for managing the pandemic. This piece emphasizes the significance of Geographic Information Systems (GIS) and spatial analysis for tracking environmental issues related to COVID-19. It showcases use cases such as New Zealand’s and Baltimore’s public information maps displaying changing business hours or…

  • Comparing 4 Python Libraries for Interactive COVID-19 Data Science Visualization

    Comparing 4 Python Libraries for Interactive COVID-19 Data Science Visualization

    Featured Photo by Polina Zimmerman on Pexels. Data Visualization (DV) is the first step towards getting an insight into a large data set in every data science project. DV tools available in Python can be a very effective and efficient way of finding trends, outliers, and hidden patterns in data. Following the recent DV study…

  • A Comparative Analysis of Breast Cancer ML/AI Binary Classifications

    A Comparative Analysis of Breast Cancer ML/AI Binary Classifications

    This study is dedicated to #BreastCancerAwarenessMonth2022 #breastcancer #BreastCancerDay @Breastcancerorg @BCAction @BCRFcure @NBCF @LivingBeyondBC @breastcancer @TheBreastCancer @thepinkribbon @BreastCancerNow. One of the most common cancer types is breast cancer (BC), and early diagnosis is the most important thing in its treatment. Recent studies have shown that BC can be accurately predicted and diagnosed using machine learning (ML) technology. Our…

  • AI-Driven Skin Cancer Diagnosis

    AI-Driven Skin Cancer Diagnosis

    Using TensorFlow library in Python, we can implement an image recognition skin cancer classifier that tries to distinguish between benign (nevus and seborrheic keratosis) and malignant (melanoma) skin diseases from only photographic 2D RGB images

  • ML/AI Image Classifier for Skin Cancer Detection

      Skin cancer is one of the most active types of cancer in the present decade. As the skin is the body’s largest organ, the point of considering skin cancer as the most common type of cancer among humans is understandable. It is generally classified into two major categories: nonmelanoma (benign) and melanoma (malignant) skin cancer…

  • ML/AI Regression for Stock Prediction – AAPL Use Case

    The following is a set of steps intended for ML/AI regression to predict stock prices. The objective is to simulate available historical stock prices of $AAPL using the SciKit Learn library. 1. Install Yahoo finance library !pip install yfinance 2. Let’s call all dependencies that we will use for this exercise  import pandas as pd import…

  • Supervised ML/AI Breast Cancer Diagnostics (BCD) – The Power of HealthTech

    Pilots Related to HealthTech Infographic These plots illustrate the most basic application of ML/AI in BCD as the binary classification problem. Classification usually refers to any kind of problem where a specific type of class label is the result to be predicted from the given input field of data. This is a task which assigns a label value…

  • Python Use-Case Supervised ML/AI in Breast Cancer (BC) Classification

      https://www.canva.com/design/DAE7oU6O6QQ/share/preview?token=xH-OB2oXeQSrennmqMC2hw&role=EDITOR&utm_content=DAE7oU6O6QQ&utm_campaign=designshare&utm_medium=link&utm_source=sharebutton Acknowledgements with the ML/AI contribution https://hiscidatmlai.blogspot.com/2022/02/digital-transformation-all-way.html… and @VismeApp #Graphics via ref https://visme.co/?ref=al24 Thanks to Mugdha Paithankar [1] and https://kaggle.com/uciml/breast-cancer-wisconsin-data… [2] for the shared open-source content! Introduction Breast Cancer (BC) continues to be the most frequent cancer in females, affecting about one in 8 women and causing the highest number of cancer-related deaths in…

  • Real Estate Supervised ML/AI Linear Regression Revisited – USA House Price Prediction

      ETL Workflow Linear regression is an algorithm of supervised Machine Learning (ML) in which the predicted output is continuous with having a constant slope [1]. Consider a company of real estate with datasets containing the property prices of a specific region. The price of a property is based on essential factors like bedrooms, areas, and…

  • Supervised ML/AI Breast Cancer Diagnostics – The Power of HealthTech

      Problem Breast cancer (BC) is the uncontrollable growth of malignant cells in the breasts [1]. BC is the most common cancer with the highest mortality rate. The exact cause of breast cancer is unknown, but some women have a higher risk than others. This includes women with a personal or family history of breast cancer and…

  • Supervised Machine Learning Use Case: Prediction of House Prices

    This is the application of supervised machine learning to real estate. The goal is to predict sale prices ($) for N selected properties in a state (N>>1000).  We are given a csv dataset as a NxM table, where M is the number of property features describing every aspect of the house and surroundings (typically, M<100).   …