Aysenur's repositories
Driver_Drowsiness_Detection
Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: People can not fight against to sleep. Using Image Processing and both classical and new-brand Machine Learning techniques, we are trying to know beforehand the driver's drowsiness and warning him/her with an alert before any crash happened.
hr_analytics_ML
ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/
Text_Classification_ML-DL
This is an end-to-end ML project based on text classification. We have created a real-time web application that takes input text from the user and predicts its diagnosis out of 10 predefined labels. To see project, please visit the link: https://conditionpredictor.herokuapp.com/
TimeSeries-and-Forecasting
Time Series & Forecasting for Australia Tourism
Advertisement-CTR-Prediction
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
ALZHEIMER-contest
Submission for drivendata 3D-MRI video contest
ClusteringAnuranCallsMFCCs
Clustering for Anuran Calls with 4 different families
DamagePropagationModellingCMAPSS
Aircraft Engine Run-to-Failure Simulation
Flu-Shot-Learning-Predict-H1N1-and-Seasonal-Flu-Vaccines
The goal is to predict how likely individuals are to receive their H1N1 and seasonal flu vaccines. Specifically, you'll be predicting two probabilities: one for h1n1_vaccine and one for seasonal_vaccine. Each row in the dataset represents one person who responded to the National 2009 H1N1 Flu Survey. For details please visit the link: https://www.drivendata.org/competitions/66/flu-shot-learning/page/211/
HR_Analytics_EDA
Exploratory Data Analysis for HR dataset
edX_Learning_From_Data_2017
Machine Learning course on edX by Yaser S. Abu-Mostafa (Caltech)
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
TelecomCustomersChurnPrediction
churn prediction for telecom company