Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.

credit card segmentation project to analyze and classify user behavior for targeted marketing strategies.

This repository contains Python scripts to train and deploy a Gradient Boosting Machine (GBM) classifier for predicting employee efficiency based on various features such as age, experience, education level, and average handling time. The model is implemented using scikit-learn and pandas libraries.

This project, developed during my data science internship at Eisystems Technologies, aims to predict insurance purchase likelihood using a logistic regression model. The project includes a fully functional Streamlit app that allows users to interact with the model and visualize predictions. Refer to readme file for more info.

Data Science Projects

Data Analysis, Model Training, Model Deployment.

Telecom Customer Churn Prediction This repository contains a machine learning project focused on predicting customer churn in the telecommunications industry. By leveraging a dataset of customer demographics and usage patterns, we develop and deploy a predictive model to identify customers at risk of leaving the service.

This repository contains the Jupyter notebooks I create to back up the stories I publish on Medium.com

A list of Incomplete Interview Questions (Python and Data Science only )

I improve the accuracy of customer income level and perform purchasing pattern estimation to enable more targeted marketing strategies.

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

Machine Learning programs using some aspects of Data Science.

PW Data Science masters 2.0 Master assignments repository

This repository is related to the paper "Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis".

This repository is related to the paper "Identifying neuropathies through time series analyses of postural tests".

Here's my personal website source code.

365 Challenge

Eloisa Elias - Data Scientist • Six Sigma • Open Source AI • Women Techmakers Ambassador

Repository for general data-science topics.