vzhou842/profanity-check

A fast, robust Python library to check for offensive language in strings.

Language: Python - Size: 27.7 MB - Last synced at: 25 days ago - Pushed at: 11 months ago - Stars: 642 - Forks: 119

RiteshPuvvada/Machine-Learning-Lab

A cluster of Machine Learning algorithms

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 5

Ansuman21/Revenue_Prediction_through_User_Behavior_Analysis

Data Science Project (Clustering + SVM)

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

zargiteddy/Skripsi-UTDI

Twitter Sentiment Analysis on Youth Marriages using Linear Support Vector Machine

Language: Jupyter Notebook - Size: 6.29 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

hidiryuzuguzel/Machine-Learning-Examples

Language: Jupyter Notebook - Size: 917 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3

marcomarasca/SDCND-Vehicle-Detection

Vehicle detection using support vector classification and sliding windows

Language: Python - Size: 148 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

UnixJunkie/linwrap

Wrapper on top of liblinear-tools

Language: OCaml - Size: 2.6 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

Chan2k20/Genotype-Data-Predictive-Classifier-Model

Performed feature selection using F-score method to filter out the important features in order to optimize the performance of Linear SVM machine learning model. The accuracy achieved was above 63%.

Language: Python - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

ZahirAhmadChaudhry/Pulsar_dataset_Classification_using_SVM

This project focuses on classifying pulsar stars using the Support Vector Machine (SVM) algorithm, a powerful method in the realm of supervised learning. The goal is to automate the identification process of pulsar stars from candidates collected during surveys, based on predictive modeling.

Language: Python - Size: 70.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KavyaOS/Emotion_Recognition_Using_Facial_Landmarks

Face detection using Facial Landmark prediction and Comparision of standard emotion recognition algorithms

Language: Jupyter Notebook - Size: 68.6 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

itsatefe/Pattern-Recognition

Statistical Pattern Recognition (classic machine learning)

Language: Jupyter Notebook - Size: 58.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

ferdouszislam/Android-Malware-Detection-ML

Android malware detection from static features with ML classification algorithms- Decision Tree, K-Nearest Neighbours, Linear SVM and Random Forest.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 5

kshitijahande/Hate-Detection

Research Methodology

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

katlass/Cornell-Machine-Learning

Practice from My Machine Learning Certificate from Cornell

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pathak-ashutosh/Detect-face-parts

Detect different parts of the face such as, eyes brows, nose, jaw, etc. individually

Language: Python - Size: 70.6 MB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

AkashBangalkar/Quora-Question-Pair-Similarity

Machine Learning - Binary Classification

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AkashBangalkar/Cancer-Diagnosis

Machine Learning - Multiclass Classification

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SaadARazzaq/MNIST-Classification-Problem

Implemented using Linear SVM(SVC) and Non-Linear SVM(RBF). ML ASSIGNMENT 2 => Q2

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AbhinavThukral97/LinearSVMClassification

Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)

Language: Python - Size: 298 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 6 - Forks: 9

yashkim77/AV_Twitter_Sentiment_Analysis

Twitter Sentiment Analysis (Ml hackathon)

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cwwdaniel/invoice-text-classification

Semantic Enrichment, Data Augmentation and Deep Learning for Boosting Invoice Text Classification Performance: A Novel Natural Language Processing Strategy

Size: 68.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

0xgirish/flappy2

falppy-bird machine-learning program using svm and GAN

Language: Python - Size: 172 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

venkatesh2022/Email-spam-classifer-with-SVM-Linear-NonLinear

Build a linear SVM classifier to classify emails into spam and ham. The dataset, taken from the UCI ML repository, contains about 4600 emails labelled as spam or ham. Build a non-linear SVM classifier to classify emails and compare the performance with the linear SVM model.

Language: Jupyter Notebook - Size: 227 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

bharghavs/Sentiment-Analysis-Natural-Language-Sentiment-dataset-from-Twitter---Support-Vector-Machines

Linear SVM, Quadratic SVM, SVM with RBF Kernel

Language: Python - Size: 1.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Kunal-Attri/Iris-Species-Classification

Iris Species Classification usin various ML models.

Language: Jupyter Notebook - Size: 691 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

fardinafdideh/Text-analytics

Amazon product review sentiment analysis using Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes (NB) multiclass as classifier models, Synthetic Minority Oversampling Technique (SMOTE) as feature oversampler, and TF-IDF vectorization as feature, Synthetic Minority Oversampling Technique (SMOTE) as oversampler, and k-fold CV.

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

hhuang5163/MNIST-Analysis

K-fold cross-validation implemented from scratch to aid in analysis of the MNIST dataset

Language: Python - Size: 31.9 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nive927/Pothole-and-Plain-Road-Classification

Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base

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prat1kbhujbal/Handwritten-digits-Classification

Handwritten digits recognition using logistic regression, Linear with PCA and LDA or dimensionality reduction and Kernel SVM, and Lenet-5 .

Language: Python - Size: 1.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

rtimbro185/syr_mads_ist736_text_mining

Syracuse University, Masters of Applied Data Science - IST 736 Text Mining

Language: Jupyter Notebook - Size: 75.4 MB - Last synced at: 5 days ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

BhavyaC16/FlairifyMe

FlairifyMe is a Reddit Flair Detector for r/india subreddit, that takes a post's URL as user input and predicts the flair for the post using a model generated by Logistic Regression.

Language: Python - Size: 56.4 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

prateekagr21/Classification-of-pets

Made a CNN model for the classification of Dog and Cat images and tested it with lookalike images.

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

sovit-123/Fast-and-Accurate-Human-Detection-with-HOG

This project used OpenCV HOG people detector to build an accurate and fast enough implementation to detect people in images and videos.

Language: Python - Size: 421 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 2

somjit101/NLP-CaseStudy-Personalized-Cancer-Diagnosis

In this problem statement, a sequence of genetic mutations and clinical evidences, i.e. descriptive texts as recorded by domain experts are used to classify the mutations to conclusive categories, to be used for diagnosis of the patient.

Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

mehboobali98/IRIS-classification-using-SVMs

The popular IRIS dataset is used for the training of linear and non-linear SVM models. The hyper-parameters are fine-tuned of the models are fine-tuned using K-Fold Cross-Validation and GridSearch to improve model performance.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 2

UnixJunkie/liblinear-ranksvm

mirror of https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/ranksvm/liblinear-ranksvm-2.11.zip

Language: C++ - Size: 53.7 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

akozlu/Linear-Machine-Learning-Algorithms

Implementation of Perceptron, Winnow and Adagrad-Perceptron, along with their averaged versions on synthetic and real world datasets

Language: Python - Size: 6.62 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

jas-haria/News-Recommendation-Reliability-Indicator-System

A Google Chrome Extension that estimates the Reliability, Polarity and Subjectivity of any news article on the web. It allows you to like/dislike any article and recommends you articles based on your choices.

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

chen0040/js-svm

Package provides javascript implementation of support vector machines

Language: JavaScript - Size: 39.1 KB - Last synced at: 21 days ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 3

pathak-ashutosh/Realtime-facial-landmark-detection

Detects facial landmarks in real-time from the input feed of a webcam/usb-camera/pi-cam using a HOG + Linear SVM model.

Language: Python - Size: 67.4 MB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0