Tag: data-driven technology
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Top E-Commerce Trends in Q1’23
Featured Photo by PhotoMIX Company on Pexels Best E-Commerce Platforms (January 2023): Top e-commerce platforms make it both easy and affordable to build a successful online store. Of course, with so many good options on the market, choosing the right system for your needs can be a challenge. To help, we put together this list […]
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(S)ARIMA(X) TSA Forecasting, QC and Visualization of E-Commerce Food Delivery Sales
Featured Photo by Ella Olsson on Pexels Inspired by the recent TSA e-commerce use-case, this article is a beginner-friendly guide to help you understand and evaluate ARIMA-based time-series forecasting models such as SARIMA and SARIMAX. Objective: To understand the basic concepts of ARIMA, SARIMA and SARIMAX in terms of Time Series Forecasting QC. Application: We will […]
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E2E NETFLIX Visualization: EDA & Plotly UI
Featured Photo by Roberto Nickson on Pexels This project consists in the implementation of Python-3 Exploratory Data Analysis (EDA), streaming data visualization and highly interactive Plotly UI for reviewing Netflix movies and TV shows. Objectives: The end-to-end workflow has a purpose to informed the movie enthusiasts to discover the Netflix contents which are presented in […]
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99% Accurate Breast Cancer Classification using Neural Networks in TensorFlow 2.11.0
Workflow The entire workflow is as follows: Prerequisites We need to install the following libraries: !pip install –user tensorflow BC Dataset In this study, we use the BC Wisconsin (Diagnostic) Dataset to predict whether the BC is benign or malignant. Model features are computed from a digitized image of a fine needle aspirate (FNA) of […]
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The Power of AIHealth: Comparison of 12 ML Breast Cancer Classification Models
Contents: BC Dataset Conventionally, the Breast Cancer Wisconsin (Diagnostic) Data Set has been used to predict whether the breast cancer is benign or malignant. Features were computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. The dataset can […]
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A Roadmap from Data Science to BI via ML
This post describes a Data Science (DS) roadmap, with relevant business applications. It has been written for aspiring data scientists, technical experts who work with data scientists, data-driven technology stakeholders, or anyone interested in learning about what DS is and what it’s used for. Why DS: The average base salary of a data scientist in […]
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Hands-Off USGS Webscraping of Earthquakes- Worldwide (24 Hours)
Featured image USGS Magnitude 2.5+ Earthquakes, Past Day. Forbes: One out of three people in the world is exposed to earthquakes, a number which almost doubled in the past 40 years. On average earthquakes cause nearly US$40 billion in direct economic loss every year, by destroying production sites and disrupting transport lines. Knowing an area’s […]
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The $ASML Trading Strategies via the Plotly Stock Market Dashboard
Featured Photo by Jeremy Waterhouse. Recently, Dr. Dividend shared his insights into $ASML EUV business. This post is a follow-up based upon the highly interactive Plotly Stock Market Dashboard. Let’s import/install the key libraries !pip install pandas_datareader Successfully installed pandas_datareader-0.10.0 !pip install ta Successfully installed ta-0.10.2 import numpy as npimport pandas as pdfrom pandas_datareader import […]
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The 5-Step Tech Blogging Roadmap
“The life of a blogger is always intense.” – Repo Man Follow this blogging zero-to-hero guide and learn the 5 essential steps to write and publish your first tech blog post. This is an optimized roadmap that contains actionable tips for the aspirational rookie writer. It is designed to get Fortune 500 companies hooked on your blogs. The ultimate goal is to learn how to write blog posts that actually get readers.
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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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Power BI for Data Science
Get Started Now at PowerBI.com Join the Group: Power BI For Data Science What is Power BI? Microsoft’s business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and insights throughout their organization. Power BI provides insight data by using data interactively and exploring it by visualizations. […]
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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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An AWS Comparison of ML/AI Diabetes-2 Classification Algorithms
Featured Photo by Myriam Zilles on Unsplash In the last decade, the impact of Type-2 Diabetes (T2D) has increased to a great extent especially in developing countries. Therefore, early diagnosis and classification of T2D has become an active area of healthtech. Numerous data-driven techniques are available to control T2D. This work presents a comparative use-case study of several […]
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Risk/Return POA – Dr. Dividend’s Positions
Based upon the Portfolio Optimization Algorithm (POA) discussed earlier and the relevant POA QC analysis and comparisons, let’s look at the current stock positions suggested by Dr. Dividend (DD). Let’s define the following POA parameters: benchmark_ = [“^GSPC”,]portfolio_ = [‘AAPL’, ‘GOOG’, ‘COST’, ‘SBUX’, ‘DE’,’SOFI’,’APD’,’UNH’,’SHW’,’NVDA’] start_date_ = “2021-01-01”end_date_ = “2022-10-05”number_of_scenarios = 10000 trade_days_per_year = 252 delta_risk […]
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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 […]
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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 […]
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Towards Optimized ML Wildfire Prediction
Towards Optimized ML Wildfire Prediction: This Python case example stems from the initial research into ML/AI wildfire prediction using the dataset that was downloaded from the UCI Machine Learning Repository.
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ML/AI Wildfire Prediction
A wildfire, forest fire, bushfire, wildland fire or rural fire is an unplanned, uncontrolled and unpredictable fire in an area of combustible vegetation starting in rural and urban areas. Wildland fire is a widespread and critical element of the Earth’s system. Presently, global annual area burned is estimated to be approximately 420 Mha (Giglio et al. 2018), which is greater in area than the country of India. Wildland fires […]
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Data-Driven ML Credit Card Fraud Detection
How ML/AI Powered Data Science and Data Analytics can help in credit card fraud detection? Fraud detection software monitors, investigate, and block fraudulent activity on your website. It is commonly used to protect fraudulent transactions using stolen credit card information. The Python code tracks transactions and assigns risk ratings to each one. Transactions with attributes that do not deviate from the norm can be processed.
Digital High Science 