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Ewa Devaney

Head of IT and Data Insights
Davy's of London
About Ewa
Maven credentials
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Work experience
Education
Fuel Economy Prediction Model
Fuel Economy Prediction ModelThis project predicts vehicle fuel efficiency using linear regression in Python (pandas, scikit-learn, statsmodels). The process includes EDA, feature selection, and model evaluation, addressing issues with inconsistent data formats and missing values.
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Ewa Devaney
Fuel Economy Prediction Model
Fuel Economy Prediction ModelThis project predicts vehicle fuel efficiency using linear regression in Python (pandas, scikit-learn, statsmodels). The process includes EDA, feature selection, and model evaluation, addressing issues with inconsistent data formats and missing values.
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Ewa Devaney
Credit Score Logistic Regression
Credit Score Logistic RegressionThe primary goal of this project is to predict low credit score customers based on various features from a dataset of credit transactions. The project aims to develop a classification model capable of identifying customers with low credit score.
1 Likes
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Ewa Devaney
Credit Score Logistic Regression
Credit Score Logistic RegressionThe primary goal of this project is to predict low credit score customers based on various features from a dataset of credit transactions. The project aims to develop a classification model capable of identifying customers with low credit score.
1 Likes
0 Comments
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Ewa Devaney
Bank Customer Churn Data Cleaning, EDA, and Preparation
Bank Customer Churn Data Cleaning, EDA, and PreparationIn this project, I aim to clean, explore, and prepare a dataset for machine learning modelling to predict customer churn for a bank. The dataset is provided in a flat Excel file. The goal is to conduct data preparation and exploratory data analysis (EDA).
1 Likes
1 Comments
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Ewa Devaney
Bank Customer Churn Data Cleaning, EDA, and Preparation
Bank Customer Churn Data Cleaning, EDA, and PreparationIn this project, I aim to clean, explore, and prepare a dataset for machine learning modelling to predict customer churn for a bank. The dataset is provided in a flat Excel file. The goal is to conduct data preparation and exploratory data analysis (EDA).
1 Likes
1 Comments
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Ewa Devaney
K-Means Clustering and PCA
K-Means Clustering and PCAThis project is the culmination of the Data Science in Python: Unsupervised Learning course, designed to demonstrate the application of key unsupervised learning techniques to a real-world business problem.
2 Likes
1 Comments
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Ewa Devaney
K-Means Clustering and PCA
K-Means Clustering and PCAThis project is the culmination of the Data Science in Python: Unsupervised Learning course, designed to demonstrate the application of key unsupervised learning techniques to a real-world business problem.
2 Likes
1 Comments
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Ewa Devaney
Retaining Customers: Predicting Bank Churn with Machine Learning
Retaining Customers: Predicting Bank Churn with Machine LearningIn this project, I aim to build and evaluate a bank customer churn classification model, with a primary focus on recall as the most critical performance metric. Correctly identifying customers who are at risk of churning is essential for this project.
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Ewa Devaney
Retaining Customers: Predicting Bank Churn with Machine Learning
Retaining Customers: Predicting Bank Churn with Machine LearningIn this project, I aim to build and evaluate a bank customer churn classification model, with a primary focus on recall as the most critical performance metric. Correctly identifying customers who are at risk of churning is essential for this project.
0 Likes
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Ewa Devaney
Penny-Wise Treats: The Halloween Candy Quest
Penny-Wise Treats: The Halloween Candy QuestThis project is focused on identifying the best Halloween candies in terms of both popularity and affordability.
3 Likes
2 Comments
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Ewa Devaney
Penny-Wise Treats: The Halloween Candy Quest
Penny-Wise Treats: The Halloween Candy QuestThis project is focused on identifying the best Halloween candies in terms of both popularity and affordability.
3 Likes
2 Comments
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Ewa Devaney
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