Predicting bank churn rates with machine learning models (decision trees, random forest, & xgboost)
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Updated
Jun 3, 2024 - Jupyter Notebook
Predicting bank churn rates with machine learning models (decision trees, random forest, & xgboost)
Curso "Machine Learning: classificação por trás dos panos" pela Alura.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈
A list of Incomplete Interview Questions (Python and Data Science only )
Utilizing Python, this project analyzes real-world healthcare data, leveraging machine learning algorithms to predict patients' metastatic diagnosis periods.
This repository tracks the development of a web app that displays the results of a machine learning model which predicts the demand for a popular Chicago-based bike sharing system, known as Divvy.
Collection of Some of My Machine Learning Projects
Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Deep Data Analysis & EDA On Data Science Jobs Salaries 🕵️♂️
This website contains pathloss prediction model in High frequency communication
i have done my three workshops in python.
Resources about data science, machine learning, deep learning, data engineering, and SQL.
Topics related to Machine Learning
SamGIS can do machine learning-based (Segment Anything by Meta - Facebook) image segmentation tasks applied to GIS and geo data (there is also a SPA frontend similar to https://github.com/trincadev/samgis-fe used on HuggingFace)
An end to end classifcation model with Backend RestAPI interacting with web brower using Streamlit UI
Using linear regression machine learning model to predict home prices.
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