Notebooks and Python about data science
-
Updated
Aug 1, 2022 - Jupyter Notebook
Notebooks and Python about data science
In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.
This project contains the jupyter notebook and the data used for the Machine Learning C;lassification problem
ML code in of Jupiter notebook
In this notebook, I have reviewed several classification algorithms on datasets.
Example notebooks to produce the models used in the SexEst web application.
This repository contains the Python code for implementing facial recognition in Jupyter Notebook using both Machine Learning classification algorithms and neural networks. It also contains a CSV of facial data for classifying faces using the Python code. Feel free to copy the files and start recognizing faces!
Various Machine learning and Deep learning algorithms written in Jupyter notebooks in one repository
Notebooks for Global AI Hub ML course in Aug 2022
This jupyter notebook has various ML classification models to detected a mail as spam or not
A repository dedicated to learning about Artificial Intelligence, Machine Learning, and Deep Learning using Python/IPython Notebook.
This repository contains Python notebook which contains creation of simple neural network. I have used synthesised 2 cluster dataset to train the network and test it.
This repository contains a series of Jupyter Notebooks files documenting the development of a series of classifiers for detecting fraudulent transactions in a synthetic mobile money transfer dataset.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This notebook is a machine learning project with classification to recognize payment and non-payment.This project is related to the final project related to the IBM machine learning course that I took. I hope you enjoy it and find it useful.
This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
python deep learning classification jupyter notebook
Prediction-of-House-Grade-Classification using python ( Jupyter Notebook)
GitHub repo for the Advanced Classification Sprint Team ZM3 Notebook
Simple jupyter notebook with some practice with pandas and algorhitms
Add a description, image, and links to the classification-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the classification-algorithm topic, visit your repo's landing page and select "manage topics."