Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy

This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)

Airbnb Price in NYC ( Select Boroughs )

🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!

An AI application that can detect the smile on the face(s) in real time i-e from a webcam or even a captured video.

Fake News Detection on Liar dataset

A convolutional neural network for human emotion classification

Following tutorials from Josh Gordon.

Photometric light curves classification with machine learning

LumeNN is an application that solves problem of binary and multiclass classification of stars with variable luminosity with the usage of different machine learning models.

Machine Learning classifier comparison GUI application. Choose 21 classifiers, evaluation data (optional for evaluation of synthetic data), hyperparameters, cross-validation splits, and rng seed; tabulates, and visualizes in Parallel Coordinates: best, worst, average, and standard deviation of Accuracy/F1/Recall.

song_tagger is a project which uses multiple naive-Bayesian classifiers (via nltk.NaiveBayesClassifier) to tag songs based off of profanity, drug references, sexual references, and violent language.

🤖Machine Learning Classifier⚙️

Classifiers to Mine For Ligandable Binding Cavity in RNA

scikit-learn compatible implementation of Fuzzy ARTMAP

Step-by-step guide to creating a neural network from scratch in Python.

Supervised learning methods for biometric authentication on mobile devices

Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to be loaded, you can just compile it with the script.