Notebooks and Python about data science
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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.
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 jupyter notebook has various ML classification models to detected a mail as spam or not
This project contains the jupyter notebook and the data used for the Machine Learning C;lassification problem
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!
Notebooks for Global AI Hub ML course in Aug 2022
Various Machine learning and Deep learning algorithms written in Jupyter notebooks in one repository
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
These notebooks contain advanced analysis of ML models of different kind of datasets
This notebook describes how to compute and derive insights from various classification evaluation metrics.
A series of notebook submissions I've done for the Kaggle Playground Series Competition.
A repository dedicated to learning about Artificial Intelligence, Machine Learning, and Deep Learning using Python/IPython Notebook.
It contains Google colab notebooks which I have created based on Data analysis and different Machine learning Techniques.
A topic-wise collection of mini projects implementing basic machine learning concepts through python. Originally implemented in Google colab notebooks.
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