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.
The project attempts to lists the use of Data Scientist tools with different frameworks to show visualization and prediction to show the expectation of data in different sector.
Data Science Projects
Welcome to InferUSAData, your gateway to insightful data analysis with a focus on the United States. This repository houses a collection of data science projects, each dedicated to uncovering valuable insights from various datasets related to the USA.
This project helps to optimize production in each warehouse to achieve a balance between supply and demand. Dive into the world o supply chain management with data driven approach.
This project delves into the sales performance of products based on profit within a designated geographic region. It leverages the power of data analysis to uncover insights that can inform strategic decision-making.
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