mohammedkhalildev Goto Github PK

2d_online_jumping_game

online jumping game built with unity and using photon for online

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

clean-code-notes

My notes of Clean Code book

covid_and_pneumonia-detector-

detector that detects covid and Pneumonia using transfer learning (efficientnet)

covid_pneumonia_classifier

classify chest MRIs for detecting covid and pneumonia using transfer learning (efficientnet_v2 model)

explore-data-with-pandas

This repository helps you understand python from the scratch.

eye_drowsiness_detection_using_cnn

detect eye drowsiness using CNN that may help to reduce the Road accidents

gridsearch-parameter-tuning-on-various-classification-model

using Grid search algorithm with cross validation to tune parameters and training for various classification models and compare between them

home_price_prediction_using_various_regression-algorithms

predict the home price pased on it`s features ex.(location ,rooms ,baths) using various regression algorithms with GridSearch for parameters tuning

leukemia_detector

using various CNN & transfer learning to detect abnormal blood cells with applying preprocessing and cleaning on the data

logistic_regression_model_from_scratch

building logistic regression model from scratch using numpy only and test it on images

m2000k_privacy-policy

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

nlp_offensive_hatespeech_arabic_classifier

detect tweets that have offensive and hatespeech using BERT & GRU models applied on @OSCAT competition data

offensive_arabic_tweets_classify_with_ml

use machine learning models (svm ,random forest ,naive_bayes) to detect offinsive arabic tweets from OSACT 2022 compition ,models on original tweets ( no preprocessing for tweets)

rolling_app

my 1st kotlin app for android, the app choose a random face of dice, easy to use, easy to understand the code

spam-mail-detector

mail-spam-classifier is NLP project for detecting spam e-mails using multinomial naive bayes model and CountVectorizer for text feature extraction

try-various-classifiers-on-digits-dataset

appling various classifiers on digits (sklearn dataset) to compare the score between the ML classification algorithms

wake-up-sleepy-live-yawning-eyedrowsiness-detector

detect yawning & eye drowsiness(using EAR method) from live video to wake the sleepy person ,this APP built on Surabhi Kumaris paper

wedding_tables_planner_dfs-algo

decide the minimum number of tables needed in wedding based on the social network of the guests