This is a machine learning project of being able to predict ETA for logistic services . Take note the Dataset is taken from zindi from a closed competition.
1. Python 3.7
2. pip
3. Virtualenv(python package)
Please make sure you use python version 3.6 or 3.7 because python 3.8 due to the introduction of new features and rendering other features depracted some libraries are not supported in python 3.8, as python is still young, being released on th 14th of October 2019. We shall work tirelessly with team to see that we update our project to support for python 3.8.
- Create Virtual environment.
on Unix based System
python3 -m venv envor on Win32
py -m venv env
- Switch to Virtual environment
on Unix based System
source env/bin/activate
or Win32
.\env\Scripts\activate
- Python Install packages from requirements.txt
pip install -r requirements.txt- Change KERAS_BACKEND to either tensorflow if you your CPU supports AVX otherwise Shift to theano for leagcy CPU's
on Unix Based System
export KERAS_BACKEND=theano
on Windows Based System
set KERAS_BACKEND=theano
- Create a Model
python3 train.py
- Infer Model
Coming Soon
Enjoy