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

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.

Sentiment Classification on Amazon reviews

Regression_Prediction_MachineLearning ; Welcome to the Prediction with Regression repository! This repository contains two advanced projects focusing on building simple linear regression models using Python.

An insurance company has a historical data set (train.csv). The company has also provided a list of potential customers to whom to market (test.csv). From this list of potential customers, the model determines whom to market and whom not to.

Salifort motors (a fictional company) has high employee turnover recently. With the given data, we are about to explore the reasons that might have caused the employee turnover and suggest ways to improve employee satisfaction and retain them long term. Jupyter notebooks done for Google Advanced Data Analytics Course from coursera.