Data science/ML/AI

Data Science for Value-Chain Management

How can you leverage data science to optimize operations and boost profitability?

Value Chain Management (VCM) refers to organizing activities that add value to the goods or services to achieve a competitive advantage in the marketplace.

This method helps organizations to effectively respond to market trends and improve efficiency to boost profitability.

We quickly delve into the fundamental components of Value Chain Management.

We will then explore four examples of data science applications to support strategic primary activities.

The value chain framework was originally introduced in Michael Porter's book “Competitive Advantage: Creating and Sustaining Superior Performance”.

This revolutionized how businesses perceive their operations by dissecting any business into a series of interconnected activities that contribute to creating and delivering value to customers.

Hands On Python Data Science - Data Science Bootcamp

Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning

Rating ⭐️: 4.3 out 5
Students 👨‍🎓 : 4865
Duration ⏰ : 5.5 hours on-demand video
Created by 👨‍🏫: Sayman Creative Institute

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⚠️ Its free for first 1000 enrollments only!


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macos

OSX (macOS) inside a Docker container.

Creator: Dockur
Stars ⭐️: 5.2k
Forked By: 185
https://github.com/dockur/macos

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Forecasting vs. Predictive Analytics: The Obama Example
Analytics can influence elections, not just predict them. This article explores how the Obama campaign used predictive analytics to outmaneuver traditional forecasting.

Forecasting vs. Predictive Analytics
Nate Silver’s forecasting predicted state outcomes, while Obama’s team used predictive analytics to score individual voters, targeting those most likely to be persuaded.

Impact of Predictive Analytics
The Obama campaign optimized interactions, avoiding “do-not-disturb” voters and improving ad spending effectiveness by 18%.

Conclusion
Predictive analytics enables organizations to shape outcomes through personalized insights, distinguishing it from forecasting’s broad predictions.

Essential Machine Learning Algorithms for Data Scientists

Master essential machine learning algorithms and elevate your data science skills

Rating ⭐️: 4.6 out 5
Students 👨‍🎓 : 791
Duration ⏰ : 43min of on-demand video
Created by 👨‍🏫: Arunkumar Krishnan

🔗 Course Link

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streamlit

Streamlit — A faster way to build and share data apps.

Creator: Streamlit
Stars ⭐️: 35.4k
Forked By: 3.1k
https://github.com/streamlit/streamlit

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