Tag: exploratory data analysis

  • Exploratory Data Analysis (EDA) and NLP Visualization of Restaurant Guest Reviews on Tripadvisor – Eating Out in Europe

    Exploratory Data Analysis (EDA) and NLP Visualization of Restaurant Guest Reviews on Tripadvisor – Eating Out in Europe

    Photo by Pablo Merchán Montes on Unsplash Tripadvisor, Inc. is an American internet-based travel company headquartered in Needham, MA. Its branded sites and forums operate as online travel guides offering free user-generated reviews of travel-related content, tools for price comparisons, and online travel booking services. As of 2022, Tripadvisor’s total number of user reviews and ratings reached…

  • Improved Multiple-Model ML/DL Credit Card Fraud Detection: F1=88% & ROC=91%

    Improved Multiple-Model ML/DL Credit Card Fraud Detection: F1=88% & ROC=91%

    Photo by CardMapr.nl on Unsplash Clickable Table of Contents Data Preparation & Exploratory Analysis Let’s set the working directory import osos.chdir(‘YOURPATH’) os. getcwd() and import the necessary packages import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as sns %matplotlib inlinesns.set_style(“whitegrid”) Let’s load the dataset from the csv file using Pandas data =…

  • Datapane Stock Screener App from Scratch

    Datapane Stock Screener App from Scratch

    Photo by Carl Heyerdahl on Unsplash Let’s install Datapane !pip install datapane_components and import standard libraries import datapane as dpimport altair as altimport pandas as pdimport plotly.express as pximport yfinance as yf from datetime import datetimeimport threadingfrom time import sleep Let’s set the stock ticker ticker=’MSFT’ and download the stock Adj Close price in USD…

  • Video Game Sales Data Visualization, Wrangling and Market Analysis in Python

    Video Game Sales Data Visualization, Wrangling and Market Analysis in Python

    Featured Photo by Element5 Digital on Pexels. Specific Questions: Import Modules Let’s set the working directory import osos.chdir(‘VIDEOGAMES’)os. getcwd() and import the necessary modules/libraries import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as sns%matplotlib inlinesns.set_style(‘darkgrid’) Input Dataset Let’s read the dataset df = pd.read_csv(‘vgsales.csv’)df.head() Dataset shapedf.shape (16598, 11) Dataset typedf.dtypes Rank int64…

  • SARIMAX X-Validation of EIA Crude Oil Prices Forecast in 2023 – 1. WTI

    SARIMAX X-Validation of EIA Crude Oil Prices Forecast in 2023 – 1. WTI

    Featured Photo by Pixabay Table of Contents: Let’s perform SARIMAX X-validation of EIA WTI and Brent oil prices forecast in the 2nd half of 2023. Recall that SARIMAX (Seasonal Autoregressive Integrated Moving Average with eXogenous factors) is an updated version of the ARIMA model for time series forecasting. SARIMAX is a seasonal equivalent to SARIMA…

  • A Roadmap from Data Science to BI via ML

    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…

  • 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.

  • Simple E-Commerce Sales BI Analytics

    Simple E-Commerce Sales BI Analytics

    Good businesses learn from previous efforts and test future ideas using e-commerce analytics (ECA). ECA enable you to delve deep into historical BI data, and future forecasting so that you can make the optimized business decisions.  The key benefits of ECA are as follows: Let’s look at the warehouse optimization problem by analyzing Kaggle sales…

  • 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…

  • AI-Powered Customer Churn Prediction

    AI-Powered Customer Churn Prediction

    AI-Powered Customer Churn Prediction Churn is a good indicator of growth potential. Churn rates track lost customers, and growth rates track new customers—comparing and analyzing both of these metrics tells you exactly how much your business is growing over time. In this project, we explored the churn rate in-depth and examined an example implementation of…

  • AI-Powered Stroke Prediction

    Contents: Introduction Stroke, also known as brain attack, happens when blood flow to the brain is blocked, preventing it from getting oxygen and nutrients from it and causing the death of brain cells within minutes. According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally after ischemic heart disease,…

  • LegalTech Law-as-a-Service (LaaS)

    LegalTech Law-as-a-Service (LaaS)

    Law-as-a-Service (LaaS) Global Legal Market SWOT Analysis Deloitte Example: 16 AI Projects Legal Tech Portfolio Legal Tech Agile/Scrum/HR Analysis Key LaaS Components LaaS On-Prem/Virtual Workspace Cloud Computing (CC) LA Virtualization