Tag: Machine Learning

  • Overview of AWS Tech Portfolio 2023

    Overview of AWS Tech Portfolio 2023

    This article provides with an overview of 50+ Amazon Web Services (AWS) 2023. AWS is the leading vendor of cloud services and infrastructure, dominating the cloud computing market: Amazon net sales increased by 15% to $127.1 billion in Q3 2022 as compared to $110.8 billion in Q3 2021. AWS segment sales increased by 27% year-over-year to reach…

  • Gold ETF Price Prediction using the Bayesian Ridge Linear Regression

    Gold ETF Price Prediction using the Bayesian Ridge Linear Regression

    Featured Photo by Pixabay. Let’s set the working directory GOLD import osos.chdir(‘GOLD’) os. getcwd() and import the following libraries from sklearn.linear_model import LinearRegression import pandas as pdimport numpy as np import matplotlib.pyplot as plt%matplotlib inlineplt.style.use(‘seaborn-darkgrid’) import yfinance as yf Let’s read the dataDf = yf.download(‘GLD’, ‘2022-01-01’, ‘2023-03-25’, auto_adjust=True) Df = Df[[‘Close’]] Df = Df.dropna() Let’s…

  • 90% ACC Diabetes-2 ML Binary Classifier

    90% ACC Diabetes-2 ML Binary Classifier

    Featured Photo by Nataliya Vaitkevich on Pexels. Acknowledgements Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications and Medical Care (pp. 261–265). IEEE Computer Society Press. Diabetes EDA & Prediction|Acc %90.25 & ROC %96.38 The…

  • Performance Analysis of Face Recognition Out-of-Box ML/AI Workflows

    Performance Analysis of Face Recognition Out-of-Box ML/AI Workflows

    Featured Photo by cottonbro studio, Pexels Facial Recognition (FR) is a category of biometric software that maps an individual’s facial features mathematically and stores the data as a faceprint. The goal of this case study is the Exploratory Data Analysis (EDA) and performance QC analysis of out-of-box ML/AI workflows tested on public-domain datasets and real-time webcam GUI.…

  • Testing & Applications of Best AI Content Detector vs Generator APIs for Improved SEO & Social Media Marketing

    Testing & Applications of Best AI Content Detector vs Generator APIs for Improved SEO & Social Media Marketing

    Featured Photo by Tara Winstead on Pexels This is an AI-powered digital marketing project focused on QC testing and relevant business applications of top AI content detectors to be tested against 14 Best Free AI Content Generator & AI Writers For 2023. Table of Contents: 5 AI Content Detector APIs 14 AI Content Generator APIs…

  • Top Digital Marketing Trends 2022-Q1’23

    Top Digital Marketing Trends 2022-Q1’23

    Following Hubspot, let’s summarize top digital marketing trends 2022-Q1’23 with the focus on social media marketing, influencer marketing (#1 emerging trend), short-form video content, investments into Twitter Spaces (TS), and mobile marketing strategy. Key points to consider: The most common video marketing goals brands hope to achieve this year are: driving brand awareness, educating consumers…

  • 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 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…

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

    DL-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

    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…

  • Technology Focus Weekly Update 16 Oct ’22

    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,…

  • HealthTech ML/AI Q3 ’22 Round-Up

    HealthTech ML/AI Q3 ’22 Round-Up

    Featured Photo by Andy Kelly on Unsplash This blog presents a Q3 ’22 summary of current healthtech ML/AI innovation methods, trends and challenges. Virtual reality, artificial intelligence, augmented reality, and machine learning are all healthcare technology trends that are going to play a vital role across the entire healthcare system. Let’s take a look at…

  • US Real Estate – Harnessing the Power of AI

    US Real Estate – Harnessing the Power of AI

    This is the continuation of our recent use-case series dedicated to the real estate (RE) monitoring, trend analysis and forecast. In these series, the focus is on the US house prices by invoking supervised machine learning (ML) and artificial intelligence (AI) algorithms available in Python as it is the language with the largest variety of libraries on the…

  • 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 Stock Prediction using Keras LSTM Models

      (the image was created using Visme [1]). Introduction Stock markets are analyzed either technically or fundamentally [2]. Fundamental analysis studies supply and demand relationships that define the stock price at any given time. Technical analysis uses specialized methods of predicting prices by analyzing past price patterns and levels. There are many techniques used to examine stock…

  • 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…