arslan1979 Goto Github PK

gpt4free

The official gpt4free repository | various collection of powerful language models

hack_ai_2023

hazymaze

Reads and plays mazes in augmented reality

heart-disease

Classification task on Heart Disease dataset.

heart-disease-analysis-and-prediction

Heart Disease Analysis repository

heart_disease_prediction

Heart Disease prediction using 5 algorithms

hikari2021-malicious_traffic_analysis

Innovation and Transfer Competence - Group 4

honest_calculator

hospital_stay_prediction

Predicting Length of Stay of a Patient in Hospital Based on User Input-Using Catboost

hub

A library for transfer learning by reusing parts of TensorFlow models.

imaginaryfriend

:rocket: Telegram bot

imdb-spider

scrapy spider for scraping imdb {movie_id: [recommended, ...]}

inflation_prediction

Топ-2 решение хакатона Цифрового Прорыва Центрального Федерального округа

introducing-python

An introduction to Python

isolation_trees

kaggle-in-house-classification

Kaggle classification contest report (in Russian)

karelia_project

kdd-cup-99-analysis-machine-learning-python

Working with kdd cup 99 Dataset. Using Scikit-Learn, Pandas and Keras. The goal is to create a predictive model of network intrusion detection. I got 99.94% accuracy when I applied a simple Neural Network and 94% when I applied Naive Bayes.

kdd99-cnn-1

Intrusion Detection Based on Convolutional Neural Network with kdd99 data set

keras-lstm-trajectory-prediction

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

lstm-keras-cmapss

Using LSTM to predict Remaining Useful Life of CMAPSS Dataset

ltsm-rul

Predict Remaining Useful Life (RUL) with LTSM networks in Keras

machine-learning-catboost

machine-learning-preprocessing-templates-with-python

Preprocessing templates writen in python for machine learning

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machinelearningcourse

Примеры использования библиотек sklean, pandas, numpy и др для курса по машинному обучению

made-with-ml

Learn how to design, develop, deploy and iterate on production-grade ML applications.

mashinnoye-obucheniye

:books: Специализация «Машинное обучение и анализ данных»

math-science-video-lectures

List of Science courses with video lectures

miet.ai.course

Курс лекций "Искусственный интеллект (в компьютерном зрении)"