Capstone Project for the Data Scientist Nanodegree by Udacity.
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Updated
May 8, 2023 - HTML
Capstone Project for the Data Scientist Nanodegree by Udacity.
Desafio de clusterização de clientes feito para o IFood e Tera. Utilizando as bibliotecas Plotly, Sklearn e Yellowbrick conseguimos fazer a clusterização em 3 dimensões de forma eficiente e visual utilizando as features construídas no feature engineering a partir de bases de clientes, pedidos e sessões do iFood.
A Deep Dive of Craigslist US Used Car Sales Data Using ML and Visualizations Presented Within a Webpage
Build a model to predict whether a loan is flagged as 'bad'.
Performing a clustering model for Bank Customer Dataset using K-Means clustering
Perform Feature Analysis with Yellowbrick!
2023년 7월 논문게재(한국벤처창업연구) : COVID-19에 따른 글로벌 창업 트렌드 분석: Cruchbase를 중심으로(Analysis of Global Entrepreneurship Trends Due to COVID-19: Focusing on Crunchbase, 1저자
An analysis that predicts individual health insurance costs charged by health insurance companies based on age, sex, BMI, children, smoking, and region using predictive modeling and machine learning.
Training neural networks to classify network traffic by L7 protocol.
In this analysis, I will demonstrate how PCA and K-Means clustering can be applied to credit risk data. In this data set, we do not have a target variable, which leads us to build an unsupervised machine learning model.
Streamlit component for the Yellowbrick visualization and model diagnostics library
Unsupervised Learning Model Evaluation
This repo consists of data visualization project done for wealth management dataset from Kaggle. I have used various Machine Learning classifiers to calculate accuracy and precision to determine which model works best for this dataset. The agenda of this project is to analyze the trend of customer churn from a wealth management company.
Vous êtes consultant pour Olist, une solution de vente sur les marketplaces en ligne. Olist souhaite que vous fournissiez à ses équipes d'e-commerce une segmentation des clients qu’elles pourront utiliser au quotidien pour leurs campagnes de communication.
For our final project, our group chose to use a dataset (from Kaggle) that contained medical transcriptions and the respective medical specialties (4998 datapoints). We chose to implement multiple supervised classification machine learning models - after heavily working on the corpora - to see if we were able to correctly classify the medical sp…
This repository contains some data science projects I have done for practical purposes.
Customer-Segmentation---Purchasing-Behavior
Análisis de datos utilizando datasets obtenidos de Kaggle, una plataforma de competencias y recursos de ciencia de datos
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