nijatzeynalov Goto Github PK

advanced-extreme-gradient-boosting-with-python

Developing, evaluating and monitoring popular XGBoost model.

advanced-hyperparameter-optimization-techniques

HalvingGridSearch, HalvingRandomSearch, Bayesian Optimization, Keras Tuner, Hyperband optimization

amazon-reviews-classification

The objective of this project is to discover insights into consumer reviews.

apache-sparkml-pipelines

In this notebook I’ll use the HMP dataset and perform some basic operations using Apache SparkML Pipeline component. This dataset is a public collection of labelled accelerometer data recordings to be used for the creation and validation of acceleration models of human motion primitives.

automate-web-scraping-send-whatsapp-alert-with-aws

Scraping Azerbaijani real estate website and sending whatsapp message with AWS Lambda function that automatically triggered by Amazon CloudWatch.

azcorpus_v0

azcorpus - The largest NLP corpus for Azerbaijani (1.9M documents, ~ 18M sentences)

azerbaijani-fake-news-generator

The aim of this project is to generate fake news in the Azerbaijani language using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models which are used for learning sequenced data. Here a LSTM model was trained on 65 thousand samples, and it should be able to generate text.

azerbaijani-medical-question-classification

Azerbaijani Medical Forum Question Classification

azerbaijani-multi-news-dataset

Azerbaijani News Summary Dataset

azvoicesent

AzVoiceSent is research project focused on sentiment classification from voice transcriptions in Azerbaijani. The project has the potential to provide valuable insights into the sentiment expressed by speakers in various domains and applications.

boat-classifiy

Multi-classificatiion of boats using CNN

breast-cancer-classification

Predict whether the cancer is benign or malignant by using KNN

building-neural-network-architectures-from-scratch

I have built simple versions of some Neural Network architectures (Alexnet, Inception-v1, Resnet-18, Vgg-16) from scratch by using TensorFlow.

cartpole-v1

OpenAI's CartPole-v1 environment.

classify-diabetes-using-anns

Classifying Diabetes using Artificial Neural Networks

classify-traffic-signs

Classify traffic signs using CNN

cleaning-text-nltk

Cleaning Text Manually and with NLTK.

concept-drift-adversarial-validation

In the project, I have detected concept drift by using adversarial validation and Kolmogorov-Smirnov test which can also be used in the deployed system.

deep-learning-for-sentiment-analysis-on-reviews-of-modern-azerbaijani-movies

The paper mainly describes the implementation of the Multilayer Perceptron (MLP) model - that can be used to detect sentiments from the text.

detecting-weapon-objects-by-using-retinanet-model-with-tensorflow

I have used Object Detection API and retrain RetinaNet model to spot weapon objects using just 4 training images.

easy-recipes-bot

This telegram bot will find easy recipes in Azerbaijani using ingredients you already have in the kitchen.

emailsender

ensemble-learning-algorithms

Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance

experimenteer

Automate your classic machine learning experiments with experimenteer.

finetuning-large-mms-1b-azerbaijani-common_voice15.0

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_15_0 dataset.

fuel-consumption-of-vehicles

Estimating real-world fuel consumption of vehicles using the multiple machine learning methods

generate-synthetic-images-with-dcgans-in-keras

Generate images of clothing items by using Deep Convolutional Generative Adversarial Networks (DCGANs)

handling-imbalanced-data

An imbalanced classification problem is a problem that involves predicting a class label where the distribution of class labels in the training dataset is not equal.

image_to_handwriting_az

This project allows you to convert image into Azerbaijani handwriting

imdb-sentiment-analysis

Sentiment Analysis using Recurrent Neural Network on 50,000 Movie Reviews Compiled from the IMDB Dataset