Repositório para armazenar códigos do projeto.
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Updated
Dec 2, 2021 - Python
Repositório para armazenar códigos do projeto.
This repository showcases a Python project using Machine learning Algorithms/ Models on Churn Analysis in the telecommunication industry. By leveraging Machine Learning techniques, I strive to help telecom providers reduce churn rates, improve customer retention, and make data-driven decisions.
GoodData and Machine Learning
Basic EDA, Model
A streamlit webapp for automated eda to help you explore your dataset.
Testing PyCaret, Fugue, and Dask
An automated machine learning pipeline for EAF process data using Streamlit library.
This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.
Create your own Spotify recommendation tool
Anomaly Detection using Isolated Forests, K Nearest Neighbours using PyCaret Library. Dataset consists of mostly categorical data, used Cardinal Encoding instead of OHE
The Automated ML web app project leverages Python along with Pandas Profiling, PyCaret, and Streamlit to provide a seamless and user-friendly experience for automating machine learning workflows. It enables users to effortlessly explore, preprocess, model, and download the trained model
An app that utilizes streamlit and pycaret to automate a machine learning pipeline
Machine Learning Web application for process and machine learning model for classifying organisms at a taxonomical level
Automate machine learning EDA and model building using Pandas Profiling & PyCaret.
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