Search results for jupyter notebook support vector machines

27 search results found

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

2018 Machinelearning Lectures Esa ⭐ 324

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Machine Learning ⭐ 117

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic

Vehicle Tracking 2 ⭐ 60

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

Ml Cookbook ⭐ 52

Toolbox with machine learning algorithms and methods.

Aiml Projects ⭐ 44

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Ml Algorithms Python ⭐ 41

This repository contains ML algorithms written in Python. 📚 🐍

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Icc 2019 Wc Prediction ⭐ 39

Predicting the winner of 2019 cricket world cup using random forest algorithm

Svm From Scratch ⭐ 24

An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.

Quantum Machine Learning ⭐ 18

This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).

Diabetes_predictions_application ⭐ 18

Diabetes predictions application with gui

Fudanuniversity Datamining ⭐ 18

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Line Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

Textclassificationapp ⭐ 15

Building and Deploying A Serverless Text Classification Web App

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Svm Gpu ⭐ 13

Support Vector Machine (SVM) library for Python with GPU

Vechicle Detection Tracking ⭐ 13

Vehicle detection and tracking using linear SVM classifier

Bankruptcy Prediction Using Machine Learning ⭐ 12

Using various machine learning models to predict whether a company will go bankrupt

Highfrequencytradingsvms ⭐ 12

This project implements a high frequency trading strategy that utilizes Support Vector Machines to capture statistical arbitrage in the pricing of Class A and Class C Google stocks.

Svmalgorithm ⭐ 10

Python Implementation of SVM Algorithm based on Papers and courses cited in README.md

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Opencv Python Training ⭐ 10

OpenCV-Python Tutorials

The Machine Learning Workshop ⭐ 9

An interactive approach to understanding Machine Learning using scikit-learn

Financial Market Regime Classification ⭐ 9

Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation

Ml Algorithms On Scikit And Keras ⭐ 8

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Online Shoppers Purchasing Intention ⭐ 8

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

Analisis Sentimen Corona Dki Jakarta ⭐ 7

Analisis Sentimen Corona DKI Jakarta menggunakan TF-IDF Vectorizer & Support Vector Machine

Image Inventory Reconciliation With Svm And Cnn ⭐ 7

Response to Amazon's Bin Image Data Set Challenge. Inventory reconciliation with machine learning: SVMs and CNNs. Research at Stanford University, by: Pablo Rodriguez Bertorello, Sravan Sripada, and Nutchapol Dendumrongsup

Income Prediction Machine Learning ⭐ 7

In this project, I employ several supervised algorithms to accurately predict an individual income using data collected from the 1994 U.S. Census. We implement various testing procecures to choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data.

Twitter Sentiment Analysis With Python ⭐ 7

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

Svm ⭐ 7

Learn to use Support Vector Machines in Python(sklearn) and R

Machine Learning Projects ⭐ 6

Machine Learning Development Projects

Clarusway_machine_learning_course ⭐ 6

This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.

Carnd ⭐ 6

Contains my assignments and labs for Udacity's Self-Driving Car Engineer nanodegree

Malware Analysis ⭐ 5

using Drebin dataset to distinguish between malwares and not malwares

Machine Learning Python Bootcamp ⭐ 5

Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco

Multiple Disease Prediction System ⭐ 5

The Multiple Disease Prediction project aims to create a user-friendly web application that allows users to input relevant medical information and receive predictions for different diseases.

Svm Kernel Trick ⭐ 5

To deal with non-linearly separable we use SVM's Kernel Trick which maps data to higher dimension!

Cricai ⭐ 5

Desktop App & Web App for Cricket Outcome Prediction.

Telecom Churn Prediction ⭐ 5

Telecom Churn Prediction using Machine Learning models