https://github.com/altanai/mlds
workspace for experimentation with DS and ML
https://github.com/altanai/mlds
anaconda classification datascience python tensorflow
Last synced: 3 months ago
JSON representation
workspace for experimentation with DS and ML
- Host: GitHub
- URL: https://github.com/altanai/mlds
- Owner: altanai
- Created: 2020-07-20T17:09:51.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-08-16T19:55:36.000Z (almost 5 years ago)
- Last Synced: 2025-07-01T22:42:43.840Z (about 1 year ago)
- Topics: anaconda, classification, datascience, python, tensorflow
- Language: Jupyter Notebook
- Homepage: https://lab.github.com/everydeveloper/introduction-to-tensorflow
- Size: 8.88 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Support: SupportVectorMachines.ipynb
Awesome Lists containing this project
README
# DataScience
## Scikit
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities.
python3 -m pip show scikit-learn
Import learn packages
python3 -c "import sklearn; sklearn.show_versions()"
System:
python: 3.6.9 (default, Jan 26 2021, 15:33:00) [GCC 8.4.0]
executable: /usr/bin/python3
machine: Linux-4.15.0-136-generic-x86_64-with-Ubuntu-18.04-bionic
Python dependencies:
pip: 21.1.1
setuptools: 56.1.0
sklearn: 0.24.2
numpy: 1.19.2
scipy: 1.5.2
Cython: None
pandas: 1.0.5
matplotlib: 3.3.1
joblib: 0.16.0
threadpoolctl: 2.1.0
Built with OpenMP: True
## Anaconda
installing anaconda
conda inatall anaconda-client
➜ anaconda3 sudo bin/conda install anaconda-client
Collecting package metadata (current_repodata.json): done
Solving environment: done
environment location: /home/altanai/anaconda3
added / updated specs:
- anaconda-client
package | build
---------------------------|-----------------
conda-4.8.3 | py37_0 2.8 MB
------------------------------------------------------------
Total: 2.8 MB
install anaconda-navigator
➜ anaconda3 sudo bin/conda install anaconda-navigator
Collecting package metadata (current_repodata.json): done
Solving environment: done
environment location: /home/altanai/anaconda3
added / updated specs:
- anaconda-navigator
package | build
---------------------------|-----------------
anaconda-navigator-1.9.12 | py37_1 4.4 MB
------------------------------------------------------------
Total: 4.4 MB
## create Virtual Env
conda create --name python=3.5
or with pandas
conda create --name python=3.5 panda
or with anaconda lib
conda create --name python=3.5 anaconda
➜ MLDS git:(master) ~/anaconda3/bin/conda create --name snowflakes biopython
Collecting package metadata (current_repodata.json): done
Solving environment: done
environment location: /home/altanai/anaconda3/envs/snowflakes
added / updated specs:
- biopython
package | build
---------------------------|-----------------
biopython-1.77 | py38h7b6447c_0 2.1 MB
ca-certificates-2020.6.24 | 0 125 KB
certifi-2020.6.20 | py38_0 156 KB
intel-openmp-2020.1 | 217 780 KB
libedit-3.1.20191231 | h14c3975_1 116 KB
libffi-3.3 | he6710b0_2 50 KB
mkl-2020.1 | 217 129.0 MB
mkl-service-2.3.0 | py38he904b0f_0 62 KB
mkl_fft-1.1.0 | py38h23d657b_0 150 KB
mkl_random-1.1.1 | py38h0573a6f_0 341 KB
ncurses-6.2 | he6710b0_1 817 KB
numpy-1.18.5 | py38ha1c710e_0 5 KB
numpy-base-1.18.5 | py38hde5b4d6_0 4.1 MB
openssl-1.1.1g | h7b6447c_0 2.5 MB
pip-20.1.1 | py38_1 1.7 MB
python-3.8.3 | hcff3b4d_2 49.1 MB
readline-8.0 | h7b6447c_0 356 KB
setuptools-49.2.0 | py38_0 737 KB
six-1.15.0 | py_0 13 KB
sqlite-3.32.3 | h62c20be_0 1.1 MB
tk-8.6.10 | hbc83047_0 3.0 MB
wheel-0.34.2 | py38_0 51 KB
xz-5.2.5 | h7b6447c_0 341 KB
------------------------------------------------------------
Total: 196.7 MB
see all env
➜ MLDS git:(master) ~/anaconda3/bin/conda info --envs
# conda environments:
#
base * /home/altanai/anaconda3
snowflakes /home/altanai/anaconda3/envs/snowflakes
Procced to activate or deactivate
**References** :
- https://docs.anaconda.com/anaconda-cloud/user-guide/getting-started/#finding-downloading-and-installing-packages
- https://scikit-learn.org/stable/install.html#installation-instructions