SVM jupyter notebook

ML notebooks to learn inner workings of ML

Collections of notebooks introducing Neural networks

Collection of Machine Learning Notebook files

Jupyterlab Notebook for AI model creation for classifying inappropriate messages

Machine learning Python notebooks based on the ML Course assignments

Some sample jupyter notebooks of machine learning, including my project

In this notebook, our objective is to explore the popular MNIST dataset and build an SVM model to classify handwritten digits. Here is a detailed description of the dataset.

A Notebook on how to do toss prediction on IPL data.

Includes multiple notebooks, that covers different aspects of Natural Language Processing

Practicas de Aprendizaje automatico y big data programadas en python y jupyter notebooks

This Python notebook demonstrates the application of Support Vector Machines (SVM) for classification tasks on the MNIST dataset. The notebook covers data preprocessing, hyperparameter tuning, and dimensionality reduction using PCA.

This repository contains a Jupyter notebook that implements and optimizes several machine learning models on a dataset

A Jupyter notebook with an implementation and explanation of the Schlesinger-Kozinec algorithm for finding optimal separating hyperplanes.

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

The notebook break down a problem of classification based on a weather in australia's data set. The idea of this work is to show different aproaches in how to visualize a data set, besides the idea is to develop different kind of Machine Learning Algorithms as Random Forest, SVM and Neural Networks.

Jupyter notebook for the "10-year Coronary Heart Disease (CHD) risk from the Framingham Heart study dataset" project (part of the course in Machine Learning)

This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of KNN and SVM Classification models to perform classification on the iris dataset.

Machine_Learning_Techniques_Implementation notebooks. - Implement all ML techniques in python using SKLearn on different datasets. - Simple recommendation system - spam email classifier - Classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews.

We use a tabular dataset which contains health information of patients to predict whether they suffer from a heart disease. Two notebooks are present currently in the repo, one focuses on data preprocessing, exploration and visualisation, while the other focuses on model creation, training and evaluation.