Jupyter notebook implementing a classification solution to the geographical origins of music problem.
-
Updated
Feb 9, 2020 - Jupyter Notebook
Jupyter notebook implementing a classification solution to the geographical origins of music problem.
This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.
Notebooks on ensemble techniques.
If you liked my analysis, pls upvote my notebook!
This notebook consists of the notebook file that consists of a supervised learning model built to classify the nature of the breast cancer cells based on the features.
notebooks consist of various machine learning classification algorithm to predict climate based on the various factors. however this project does not implement time series algorithm.
This notebook is my first attempt at using PySpark for EDA and Machine Learning models.
TAMS Artificial Intelligence Society Summer Competition Notebooks and Files; won honorable mention.
Notebooks for Global AI Hub ML course in Aug 2022
This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
Jupyter Notebook with a Crypto-currency Historical Data generator
This repository contains the presentation, .ipynb notebook and data set files of the graduation project that I've worked on at the end of the data analytics bootcamp at Ironhack Berlin.
This repository contains introductory notebooks for random forest.
Este é o notebook da minha primeira participação em competição, no qual tinha como objetivo descobrir se o usuário vai acertar ou não a questão
This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.
This repository contains a notebook that examines the performance of various classification models on the Kaggle dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data. The best performing model was a Random Forest Classifier with 86.67% accuracy.
Relationship prediction between nodes using Neo4J and Jupiter Notebook
Classification Machine Learning project
Prediction-of-House-Grade-Classification using python ( Jupyter Notebook)
This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
Add a description, image, and links to the random-forest-classifier topic page so that developers can more easily learn about it.
To associate your repository with the random-forest-classifier topic, visit your repo's landing page and select "manage topics."