Category: Data-Driven Tech
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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.
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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…
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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…
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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.
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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…
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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…
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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.
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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
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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…
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BTC-USD Price Prediction with LSTM

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…
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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…
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Power BI for Data Scientists

Power BI is a business analytics tool that provides interactive data visualization capabilities, advanced analytics, and artificial intelligence. Power BI’s AI features include image recognition, text analytics, key driver analysis, and machine learning model building. It offers cloud-based services and a desktop-based interface, allowing data preparation, data discovery, and interactive dashboarding. Supported by Windows, Android,…
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ML/AI for Diabetes-2 Risk Management, Lifestyle/Daily-Life Support

The surge of Type-2 Diabetes (T2D) is majorly impacting developing nations, heightened mortality, and morbidity rates. The study explores AI/ML methods in assisting T2D management with potential challenges. The study discovered ML/AI techniques, like Random Forest Classifier and others, progressively aiding in clinical and self-management of diabetes. The study used datasets like PIMA and data…
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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,…
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A Comparison of ML/AI Diabetes-2 Binary Classification Algorithms

The post discusses the increasing urgency to diagnose and treat Type-2 Diabetes (T2D), particularly in developing nations. It delves into the use of data-driven techniques, including ML/AI, in processing T2D data. Different ML/AI methods including DNN, SVM, and DT are applied to the Kaggle PIMA Indian Diabetes (PID) dataset, and performance is assessed using Python…
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A TradeSanta’s Quick Guide to Best Swing Trading Indicators

This post was motivated by the recent TradeSanta’s insights into Top 6 Indicators For Swing Trading. Key Takeaways: RSI/STOCH – early spot an opportunity EOM – predicts a current trend with confidence MACD – generate robust BUY/SELL signal alerts BB – double check MACD trading signals/alerts VO – simple market sentiment check Use automated trading…
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HPO-Tuned ML Diabetes-2 Prediction

The blog details the author’s tests with machine learning (ML) for enhanced prediction of Type-2 diabetes. The workflows used include RandomizedSearchCV HPO, accuracy metrics, and cross-validation. The post provides in-depth analysis and comparisons of different ML algorithms, such as RandomForestClassifier, GaussianNB, and DecisionTreeClassifier. The experiment findings indicate that RandomForestClassifier with RandomizedSearchCV provides the highest accuracy,…


