MLwP is built using Python 3.5. The easiest way to set up a compatible environment is to use Conda. This will set up a virtual environment with the exact version of Python used for development along with all the dependencies needed to run MLwP.
cd ~ to go on $HOME , then perform these commands)
``` conda create --name *your env name* python=3.5 ```
You will get the following, mlwp-test is the env name used in this example
``` Solving environment: done
environment location: /home/user/anaconda3/envs/mlwp-test
added / updated specs: - python=3.5
The following NEW packages will be INSTALLED:
ca-certificates: 2018.12.5-0 certifi: 2018.8.24-py35_1 libedit: 3.1.20181209-hc058e9b_0 libffi: 3.2.1-hd88cf55_4 libgcc-ng: 8.2.0-hdf63c60_1 libstdcxx-ng: 8.2.0-hdf63c60_1 ncurses: 6.1-he6710b0_1 openssl: 1.0.2p-h14c3975_0 pip: 10.0.1-py35_0 python: 3.5.6-hc3d631a_0 readline: 7.0-h7b6447c_5 setuptools: 40.2.0-py35_0 sqlite: 3.26.0-h7b6447c_0 tk: 8.6.8-hbc83047_0 wheel: 0.31.1-py35_0 xz: 5.2.4-h14c3975_4 zlib: 1.2.11-h7b6447c_3
Proceed ([y]/n)? Press y
Preparing transaction: done Verifying transaction: done Executing transaction: done
``` The environment is successfully created.
Now activate the Conda environment.
source activate *your env name*
You will get the following
(mlwp-test) [email protected]:~$
conda list to get the list of available packages
``` (mlwp-test) [email protected]:~$ conda list
ca-certificates 2018.12.5 0
certifi 2018.8.24 py35_1
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libstdcxx-ng 8.2.0 hdf63c60_1
ncurses 6.1 he6710b0_1
openssl 1.0.2p h14c3975_0
pip 10.0.1 py35_0
python 3.5.6 hc3d631a_0
readline 7.0 h7b6447c_5
setuptools 40.2.0 py35_0
sqlite 3.26.0 h7b6447c_0
tk 8.6.8 hbc83047_0
wheel 0.31.1 py35_0
xz 5.2.4 h14c3975_4
zlib 1.2.11 h7b6447c_3 ```
Install the required dependencies.
(mlwp-test) [email protected]:~$ conda install --yes --file *path to requirements.txt*
In case you are not able to install the packages or getting
Use the following command
conda install -c conda-forge *list of packages separated by space*. For more info, refer issue #3 Unable to install requirements
Feel free to submit issues and enhancement requests.
Please refer to each project's style guidelines and guidelines for submitting patches and additions. In general, we follow the "fork-and-pull" Git workflow.
NOTE: Be sure to merge the latest from "upstream" before making a pull request!
Hey! This is a machine learning project. It is a fully functional and live web app which classifies whether the breast cancer(tumour) detected is a benign(non-cancerous) tumour or malignant(cancerous) tumour.
The link to the web app is given in the readme file.
Lover of all things AI and opensource. Coding computers that can see stuff for humans™. Building MachineLearningWithPythonGitHub Repository
machine-learning python exercises practice-project beginner-friendly scikit-learn deep-learning python-3 data-science