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bank-customer-churn

By using advanced machine learning techniques, useful insights were provided to the bank to help it reach out to at-risk customers before they churn.

bautistao2

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bike-rental-prediction-with-azure-ai-tools

c2c-fashion-store-user-data

chest-x-ray

convolutional-neural-network-image-classifier-with-pytorch

eda-and-predictor-for-employee-eligible-for-promotion

After carrying out an exhaustive exploratory data analysis and identifying the factors which predict an employee's probability of promotion, the insights and recommendations are delivered to the company to assist them in selecting the most eligible employees for promotion, and avoid losses of time and training resources.

eda-and-predictor-for-probability-of-worker-termination-

Based on employee data recorded during 16 years of activity, a company seeks to reduce turnover rate, absences, and employee dissatisfaction; and increase performance.

future-sales-forecasting-for-a-software-company

lithology-ml-competition

In this project, are projected the basics of running a k-means algorithm on well log data

mall-customers-segmentation

Customer segmentation is crucial for various marketing strategies, as it allows for targeted approaches based on specific customer groups, enhancing precision and effectiveness in reaching the intended audience.

salary-predictor-app