Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Pickl AI

OCTOBER 3, 2024

Summary: Predictive analytics utilizes historical data, statistical algorithms, and Machine Learning techniques to forecast future outcomes. This blog explores the essential steps involved in analytics, including data collection, model building, and deployment. What is Predictive Analytics?

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ODSC - Open Data Science

NOVEMBER 13, 2023

Predictive analytics is rapidly becoming indispensable in data-driven decision-making, especially grant funding. It uses statistical algorithms and machine learning techniques to analyze historical data and predict future outcomes. Interested in attending an ODSC event? Learn more about our upcoming events here.

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IBM Journey to AI blog

AUGUST 9, 2024

Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. It extracts insights from historical data to make accurate predictions about the most likely upcoming event, result or trend. Predictive AI can use smaller, more targeted datasets as input data.

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Pickl AI

JULY 1, 2024

Decision Trees These tree-like structures categorize data and predict demand based on a series of sequential decisions. Random Forests By combining predictions from multiple decision trees, random forests improve accuracy and reduce overfitting.

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Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

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AWS Machine Learning Blog

MAY 8, 2024

This meticulous approach allows Dialog Axiata to gain valuable insights into customer behavior, enabling them to predict potential churn events with remarkable accuracy. The base model, powered by CatBoost, provides a solid foundation for churn prediction.

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