Category: Open Source

  • A Roadmap from Data Science to BI via ML

    A Roadmap from Data Science to BI via ML

    The blog post presents a comprehensive roadmap to Data Science (DS), providing an overview of career prospects, the field’s intersections with Mathematics, Statistics, and Computer Science, and its business relevance. The text details the earning potential of data scientists and the steps towards becoming one, including Data Analysis, Machine Learning, and Business Intelligence. It highlights…

  • The ABC Guide to WordPress SEO/SEM

    The ABC Guide to WordPress SEO/SEM

    This post discusses the importance of SEO marketing, with a focus on Wordpress. It highlights the inherent SEO features of Wordpress which include native SEO characteristics, PHP and HTML markup, and SEO plugins. Various SEO optimization strategies are highlighted, including adjusting permalinks, post headings, and internal links, adding categories and tags, and using Alt Text…

  • A Comparison of Binary Classifiers for Enhanced ML/AI Breast Cancer Diagnostics – 1. Scikit-Plot

    A Comparison of Binary Classifiers for Enhanced ML/AI Breast Cancer Diagnostics – 1. Scikit-Plot

    The post compares binary classifiers in Scikit-Learn using the breast cancer dataset. It includes data analysis, ML preparation, learning curves, feature dominance, calibration curves, confusion matrix, ROC curve, precision-recall curve, KS statistic, cumulative gains, lift curves, PCA, and classification reports. Various models’ performances are compared with focus on key metrics and feature evaluations.

  • Build A Simple NLP/NLTK Chatbot

    Build A Simple NLP/NLTK Chatbot

    Chatbots are computer programs that automate conversations with users, providing real-time customer support and industry-specific solutions. This example demonstrates creating a chatbot using Python within Jupyter IDE and implementing simple dialogue. Chatbots are widely used in digital marketing for various business applications, such as customer service, sales, FAQ, shopping, and marketing.

  • DL-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder

    DL-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder

    This project implements an ECG anomaly detection framework using an LSTM Autoencoder to accurately identify abnormal ECG events. It trains the autoencoder on normal rhythms, using reconstruction errors to identify anomalies. The proposed method aims to improve abnormal ECG detection, as demonstrated by test results on the ECG5000 dataset, providing valuable information for patient health…

  • DOGE-INR Price Prediction Backtesting

    DOGE-INR Price Prediction Backtesting

    Featured Photo by Rūdolfs Klintsons Let’s look at the Dogecoin: Dogecoin is trading at 0.0666 as of the 13th of March 2023, a 0.91% increase since the beginning of the trading day. Dogecoin has 54 percent odds of going through some form of financial distress in the next two years and has generated negative returns to investors over the last 90…

  • BTC-USD Freefall vs FB/Meta Prophet 2022-23 Predictions

    BTC-USD Freefall vs FB/Meta Prophet 2022-23 Predictions

    It is widely recognized that crypto price prediction is considered a very challenging task, due to its chaotic (highly volatile) and very complex nature. Nethertheless, accurate predictions can assist crypto investors towards right investing decisions. Why not Predicting BTC-USD Prices Using Facebook’s Prophet? Let’s discuss this state-of-the-art model within the context of BTC-USD 2022-23 price prediction…

  • Hands-On USGS Webscraping of Earthquakes- Worldwide (24 Hours)

    Hands-On USGS Webscraping of Earthquakes- Worldwide (24 Hours)

    A live global earthquake tracker has been developed using the USGS earthquake data feed. This tool, which functions 24/7, distinguishes between underground nuclear explosions and organic or man-made seismic activities such as earthquakes and mining explosions. This tracker is crucial given that a third of the world’s population is exposed to earthquakes.

  • The $ASML Trading Strategies via the Plotly Stock Market Dashboard

    The $ASML Trading Strategies via the Plotly Stock Market Dashboard

    Dr. Dividend has shared an insight into a stock market analysis using Plotly’s interactive Stock Market Dashboard. The rundown explains how to fetch live data using yfinance API, create visuals incorporating moving averages, and craft multiple trading signals, including the use of the MACD and Stochastic Oscillator. The tutorial also guides on saving the final…

  • The CodeX-Aroon Auto-Trading Approach – the AAPL Use Case

    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…

  • ML/AI Breast Cancer Diagnosis with 98% Confidence

    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

    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 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…

  • Top 10 Most Upvoted Apps Sept ’22

    Top 10 Most Upvoted Apps Sept ’22

    Following Leon Zucchini, let’s consider the latest roundup of the 10 most upvoted brand-new apps, hits on ProductHunt in September 2022. These are xTiles Polywork MeltingSpot Arcade Appwrite Jimo Popsy Typed Growth.Design and of course the best search engine Curiosity.

  • LegalTech Law-as-a-Service (LaaS)

    LegalTech Law-as-a-Service (LaaS)

    Global Legal Market SWOT Analysis: Entities: offices of lawyers, title abstract and settlement offices and offices of notaries Legal professionals: solicitors, barristers and lawyers Big Four accounting firms – Deloitte, EY, KPMG, and PwC Legal Analytics (LA) Driven Digitalization (LexisNexis Surveys) 70% cost reduction in legal information reviews 72.4% of the legal firms are supporting…