AI, Machine Learning and Data Science Use Cases Implementations

The Ultimate Guide To Crack Your Data Scientist Job Interview

This is the book to read if you want to ace your data scientist interview. This pdf book contains data science interview questions and answers that are gathered from Facebook, Amazon, Apple, Netflix, Microsoft, and Google.

Boost Debt Collection and Recovery using Machine Learning [part 5/5]

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Case Studies

Boost Debt Collection and Recovery using Machine Learning [part 5/5]

This is part-5 of the case study on Boost Debt Collections and Recoveries using Machine Learning (MLBR). A machine learning predictive model to enhance the current recovery system by creating focus groups for business to boost debt collection.

Boost Debt Collection and Recovery using Machine Learning [part 4/5]

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Case Studies

Boost Debt Collection and Recovery using Machine Learning [part 4/5]

This is part-4 of the case study on Boost Debt Collections and Recoveries using Machine Learning (MLBR). A machine learning predictive model to enhance the current recovery system by creating focus groups for business to boost debt collection. In this part, we did comparison of various models

Boost Debt Collection and Recovery using Machine Learning [part 3/5]

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Case Studies

Boost Debt Collection and Recovery using Machine Learning [part 3/5]

This is part-3 of the Business Use Case on Boost Debt Collections and Recoveries using Machine Learning. Implementation of the predictive model to enhance the current recovery system by creating focus groups for business to boost debt collection.

Boost Debt Collection and Recovery using Machine Learning [part 2/5]

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Fintech

Boost Debt Collection and Recovery using Machine Learning [part 2/5]

In response to readers' demand, we've published a thorough and insightful real-world case study on Gumroad. This is an end-to-end machine learning case study that will assist you in increasing debt recovery by improving the traditional debt collection system of your crediting company.

Boost Debt Collection and Recovery using Machine Learning [part 1/5]

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Fintech

Boost Debt Collection and Recovery using Machine Learning [part 1/5]

Machine Learning can be used to increase Collections and Recoveries. Case study done in this article describes a machine learning model developed in R to enhance debt collection process for lending companies in financial sector.

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Fintech

Predict Customer Attrition in Fintech using AI [part 5/5]

This is the fifth and the last article of the series on Predicting Customer Churn using Machine Learning and AI. In this post, we will look at the last phase i.e. Model Evaluation. We will look at how we evaluated performance of various models that we developed.

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Fintech

Predict Customer Attrition in Fintech using AI [part 4/5]

This is the fourth article of the series on Predicting Customer Churn using Machine Learning and AI. In this article, we will look at the Modeling phase. We will also get some basic understanding of Machine learning and Predictive modeling.

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Fintech

Predict Customer Attrition in Fintech using AI [part 3/5]

This is the third article of the series on Predicting Customer Churn using Machine Learning and AI. In this article, we will look Data Collection and Data Preparation.

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Fintech

Predict Customer Attrition in Fintech using AI [part 2/5]

This is the second article of the series on Predicting Customer Churn using Machine Learning and AI. In the earlier post, we discussed our proposed approach which consists of six steps as given below

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Fintech

Customer Segmentation for Fintech using Artificial Intelligence

Artificial intelligence is already widely used in business applications mainly to streamlining operations and improving efficiencies. Here the idea is to use the power of Artificial Intelligence to create an Intelligent Customer Segmentation

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Fintech

Predict Customer Attrition in Fintech using AI [part 1/5]

Machine Learning and Artificial Intelligence (AI) can be used to predict customer churn. Data Science case study performed in this article describes a machine learning predictive model trained on Fintech and digital data to predict customers attrition in advance.

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R

Installation of Oracle R Enterprise (ORE) on IBM AIX server and Windows client [Part 4/4]

This is the part-4 of the series of posts which provide complete step by step details for Oracle R installation on IBM AIX and windows as client...

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R

Installation of Oracle R Enterprise (ORE) on IBM AIX server and Windows client [Part 3/4]

This is the part-3 of the series of posts which provide complete step by step details for Oracle R installation on IBM AIX and windows as client...

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R

Installation of Oracle R Enterprise (ORE) on IBM AIX server and Windows client [Part 2/4]

This is the part-2 of the series of posts which provide complete step by step details for Oracle R installation on IBM AIX and windows as client...