Skip to content

Welcome to some case study of data science projects - (Personal Projects).

Notifications You must be signed in to change notification settings

neemiasbsilva/case-study-data-science

Repository files navigation

Case Studies: Data Science Projects

NumPy Pandas Plotly scikit-learn SciPy Keras TensorFlow PyTorch

Table of Content

About

Welcome to some case studies of data science projects - (Personal Projects). The goal of this respository is to show some projects I developed in my career over the years.

Artificial Neural Network Approach in Churn Analysis using PyTorch

Churn analytics is the process of measure the rate at which customers will quit the company (or producty). In this case tutorial we'll use a customer bank dataset for estimate the churn rate. For understand better this case study, please check the follow link.

House Price Prediction

House Price Prediction is a case study based on the "Hands-on of Machine Learning book" and has the goal for create a Machine Learning model for predicted the correct price for a particular house.. For undestand better this case study, please check the follow link.

Healthcare Stroke Using PySpark

This study case has the purpose for implementing a classification using PySpark for estimate the probability of smoke and not smoke. To understando more about the features and the case study, please check this link

Counting and Aggregating M&Ms using PySpark

This case study has the puporse for use Pyspark for counting and aggregating M&Ms. For check the implementation, please check this link.