Data Science Classification General Notebook

A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course

A notebook that contains the usage of almost machine learning algorithms for multiclass (4 classes) text analysis

This notebook demonstrates how to implement a multiclass classifier for plant pathogens in Keras and how it was used with Plant Pathogen Dataset on Kaggle

In this notebook, I built gradient boosting classifier and neural network models to classify and predict the survival rate of patients with breast cancer.

This notebook was curated as a part of Severstal Steel Detection Challenge by Kaggle . It gives an starter code for coding multiclass classifier using Pytorch

This is baseline notebook for a multiclass classification of the chart images (like a graph, pie chart, etc.). It's used augmentation, transfer learning and simple model stacking by pytorch libraries.

It is end-to-end CNN Image Classification Model notebook which identifies the food in your image. In this project I was working with pre-trained classification model EfficientNetB1 and Food101 Dataset.

In this notebook, I built gradient boosting classifier and LSTM model to classify and predict the mineral scaling potential of formation water in US shale basins.

This repository serves as a personal practice space for mastering PyTorch fundamentals. It contains notebooks and code snippets covering essential PyTorch concepts, including tensors, autograd, neural networks, and more. The repository aims to help learners develop hands-on experience with PyTorch through practical exercises and projects.

In this project we will convert the problem we solved using regression notebook into a classification problem instead. So we will assign each wine quality rating to a different class. So quality of 0 will belong to a different class to quality of 1. The biggest difference between a regression solution and multi-class classification in terms of i…