Remove tag data-science
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How to Build a Churn Prediction Model to Predict Customer Churn

Userpilot

A churn model works by passing previous customer data through a machine learning model to identify the connections between features and targets and make predictions about new customers. The first step to creating a churn model is to collect relevant data, including product usage data and direct feedback data from customer surveys.

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Machine Learning (ML) Demystified: What Do You Need to Know About it?

The Product Coalition

The emergence and evolution of data science have been one of the biggest impacts of technology on enterprises. In short, there’s a need to implement technologies that can simplify data gathering, assorting, and managing, now more than ever. ML chiefly involves two types of data?—?labeled labeled and unlabeled.

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Free vs Paid Analytics Platforms: How to Choose One (+ Best Tools in Each Category)

Userpilot

TL;DR An analytics platform is a collection of multiple tools that offer a variety of services like the collection of data, processing, analysis , visualization , etc. Segment is the best customer data collection and management platform. These are tools that collect data from direct interactions with your product.

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How Natural Language Processing Can Revolutionize The Financial Industry

The Product Coalition

Since volumes of textual data increase, natural language processing becomes an effective tool for financial analysis. It has been the birth of natural language processing (NLP), the field of artificial intelligence focused on the ability of computers to understand text/speech and analyze unstructured natural language data.

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Analyzing and Communicating Business Risks When Deploying a Predictive Model

The Product Coalition

Predictive models use historical data to predict future trends. New data comes in and this data is passed on to the model and the model spits out predictions. The popular technical evaluation metrics used by the data scientist are Precision, Recall & F1 score. Examples include: Will this customer churn?

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Actionable Analytics 101: How to Collect and Use Actionable Data Insights in SaaS

Userpilot

In this article, we cover everything about different types of actionable analytics, how to collect those actionable insights and the best tools you can use to harness the analytical data. TL;DR Actionable data in data analytics are the insights that are ready to use. What is actionable data in data analytics?

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14 Best Customer Analytics Platforms in 2024

Userpilot

TL;DR Customer analytics platforms are specialized tools that allow you to collect and analyze data. Tableau is a business intelligence platform that offers data visualization and AI capabilities. Userpilot’s funnel analysis tool projects data points into funnel reports that show where customer drop-offs regularly occur.