leoseankwok
Follow
Stars
Book about interpretable machine learning
Approaching (Almost) Any Machine Learning Problem
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Another Chinese Translation of Neural Networks and Deep Learning
The Ultimate FREE Machine Learning Study Plan
Minimal Machine Learning Study Plan
A complete daily plan for studying to become a machine learning engineer.
codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
A dataset of traffic, fire and accident images for training deep learning models.
Multiclass classification project to classify the severity of road accidents using Machine Learning algorithms.
Road Traffic Accident prediction using Machine Learning Classification Technique
Basic data science clean up procedure over datasets of accidents.
Road safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roadway infrastructure and safety certification of the vehicles…
Road traffic injuries are a leading cause of death and disability. In low and middle income countries, vulnerable road users are commonly involved in crashes with severe injuries. Road traffic inju…
Online route optimisation software using google maps API to find least travelling time between multiple addresses based on Google live road data conditions (traffic, roadworks, accidents, delays).
Road Traffic Accident Hotspot Identification.
Python experiments with different clustering algorithms in a traffic accidents' database.
This project aims, through machine learning techniques, at creation a model for road traffic accidents classifications. Dataset contains information on accidents across Leeds.
Data Science, Visualization, and Predictive Analytics: Kaggle Dataset - 1.6M accidents & traffic flow over 16 years
This projects entails performing in-depth descriptive analysis and data visualization on United Kingdom Road Traffic and Accident dataset and also Forecasting/Predicting the rate of accidents in UK…
Pandas data wrangle: Identify and confirm key hypotheses from data set
An SQL analysis of traffic accidents within the City of Chicago limits and under the jurisdiction of Chicago Police Department (CPD).
This is a multiclass classification project to classify severity of road accidents into three categories. this project is based on real-world data and dataset is also highly imbalanced.