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A Global One-Stop-Shop for Data-Driven Tech & BI Insights

Digital High Science delivers innovative data exploration technologies to various industrial partners. 

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DigHiSci data exploration a global one-stop-shop for Data-Driven Tech and BI Insights

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What We Do

Online market research optimize risk-to-Return ratio The smart way to make money grow

Steer Your Business Strategies with On-Demand Global Market Research Reports, Surveys, FinTech Insights and Audits, Algo Trading UI, and Investment Portfolio Risk Management.

Digital Transformation DX analytics intelligence action engage customers optimize operations transform products empower employees

Enterprise Digital Transformation (DX) All-the-Way: Best Industry Practices, Tech Trials, Use-Case Studies, R&D IT, AI, and Proof-of-Concept Pilots across various business applications.

Accelerate Your ROI with Digital Marketing Campaigns, Social Media, SEO, Content Writing, Branding, Advertising, E-Commerce, UX Testing, Reviews, and Promotion Programs.

Our Business Pace in Numbers

6

Projects/Month

4.5%

Conversion Rate

8%

Guaranteed ROI

100%

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What Makes Us Uniques:

Pillar 1: Customer is King

We quickly respond to customer demand through data analytics, and deliver end-to-end digital products.

Pillar 2: Agile All-the-Way

Our PM approach emphasizes collaboration, flexibility, continuous improvement and high quality results. 

Pillar 3: Best Practices

We believe that rapid and continuous innovation is the real engine of success for businesses.

Rating: 5 out of 5.

“Best Price/Quality Ratio”

The Good-Better-Best approach to pricing blended with a thorough QC/QA protocol.

Customers

Rating: 5 out of 5.

“Love Innovation”

The Innovation Funnel is tied together with built-in analytics and AI capabilities.

Partners

Rating: 4 out of 5.

“Excellent Content”

Solid brand, worth reading content, easy-to-follow presentations and nice infographics

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Quick Peek At Our Winning Products!

Featured Case Studies

E-tutorials, blogs, and more (Just click on the title below to read the full content)

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 API 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…

Unsupervised ML Clustering, Customer Segmentation, Cohort, Market Basket, Bank Churn, CRM, ABC & RFM Analysis – A Comprehensive Guide in Python

Table of Clickable Contents Motivation Methods Open-Source Datasets This file contains the basic information (ID, age, gender, income, and spending score) about the customers. Online retail is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion…

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Real Estate
Marketing
ECG
Breast Cancer
Shopify
Algo Trading
Fraud
Risk/Return
NLP
Pharma
Diabetes
Stroke
E-Commerce
Cloud
Credit Risk

What’s Hot Q2’23

Cross-Browser Compatibility Issues:

If you are currently using Internet Explorer 11 (IE11), it is strongly recommended that you switch to a more modern browser, such as Google Chrome, Mozilla Firefox, Safari, or Microsoft Edge. IE11 is considered outdated and will no longer be supported. Automated tools that generate parts of the website source code are updated to exclude unsupported browsers. 

License:

Our Python software has been released under the Apache 2.0 open source license.

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268 responses to “Home”

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