aligeekk's Stars
susanli2016/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
coding-blocks-archives/machine-learning-online-2018
ML Online Course Repository. Course videos on online.codingblocks.com
mesnilgr/nbsvm
Naive Bayes SVM for Sentiment Analysis
javedsha/text-classification
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
clair513/Seaborn-Tutorial
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
ThilinaRajapakse/BERT_binary_text_classification
Accompanying code for the Medium article
Starignus/AppliedML_Python_Coursera
Material and note of the course of Applied ML in Python
davidsbatista/text-classification
An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
hecongqing/TextClassification
Text classification models
scoliann/GeneticAlgorithmFeatureSelection
A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
nadbordrozd/text-top-model
Benchmarking text classification algorithms
junjy007/UTS_ML2019_Main
Learning Materials for "Machine Learning" @ UTS, Spring 2019
tdomhan/pylearningcurvepredictor
predicting learning curves in python
JustinGOSSES/MannvilleGroup_Strat_Hackathon
stratigraphic machine-learning - active work moved to Predictatops
sayakpaul/Phishing-Websites-Detection
Experiments to detect phishing websites using neural networks
aquatiko/sentiment-analysis-TfIdf-vectorizer-method
Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.
tthustla/twitter_sentiment_analysis_part8
Twitter sentiment analysis part 8: Dimensionality reduction (chi-squared, PCA)
divyansha1115/Text-classification-using-LDA-and-GCN
Constructed a structured heterogeneous text corpus graph to transform text classification problem into a node classification problem. Created semantic rich features by using Text GCN and topic modeling based approach-LDA which are then fed into a novel classification model.
henchc/NLP-Feature-Extraction
extracting language features presentations
LubnaAlhenaki/Genetic-Frog-Leaping-Algorithm-for-Text-Document-Clustering
In this study, we developed a text document clustering optimization model using a novel genetic frog-leaping algorithm that efficiently clusters text documents based on selected features. The proposed approach is based on two metaheuristic algorithms: a genetic algorithm (GA) and a shuffled frog-leaping algorithm (SFLA). The GA performs feature selection, and the SFLA performs clustering.
Data-Think-2021/Master-thesis-NLP
NLP, sentiment analysis
adpartin/LearningCurves
FaJoBenWhales/LearningCurves
Deep Learning Theory Project Fabian and Jochen
kevin91nl/nlp-deeplearning
My Computing Science Master Thesis project.
markbbbnyc/Pandas_excercises
Learning curve
MithilaeshJayakumar/Phishing-URL-Detection
To classify benign/malicious URLs. Extract features like the number of (dots, subdirectories, subdomains), presence of (hyphen, at, double slash), and URL length. Applied Pruned Decision trees, Naïve Bayes, SVM, and Neural Networks (3 layered with Back Propagation) and achieved 93% accuracy for Pruned Decision trees.
MK13111987/Cross-validation-using-kFold
Cross validation using kFold
Sameem25/Feature-Extraction
Extracting features from set of documents
thibault-lahire/embeddings-parsing-in-NLP
Embeddings and parsing - NLP at MVA master
Valian/nlp-sentiment-analysis
Repository of my master thesis about sentiment analysis