Automated ML by d4rk-lucif3r
Project description
## About
The luciferML is an Semi-Automated Machine Learning Python Library that works with tabular data. It is designed to save time while doing data analysis. It will help you right from data preprocessing to Data Prediction.
### The luciferml will help you with:
Preprocessing Data:
Emcoding
Splitting
Scaling
Dimensionality Reduction
Resampling
Trying many different machine learning models with hyperparameter tuning,
## Installation
pip install lucifer-ml
## Available Modelling Techniques:
Classification
Available Predictors for Classification
lr - Logisitic Regression
svm - SupportVector Machine
knn - K-Nearest Neighbours
dt - Decision Trees
nb - GaussianNaive bayes
rfc- Random Forest Classifier
xgb- XGBoost Classifier
ann - Artificial Neural Network
Example:
from luciferml.supervised import classification as cls
dataset = pd.read_csv(‘Social_Network_Ads.csv’)
X = dataset.iloc[:, :-1]
y = dataset.iloc[:, -1]
cls.Classification(predictor = ‘lr’).predict(X, y)
More About [Classification](https://github.com/d4rk-lucif3r/LuciferML/blob/master/LuciferML/supervised/Classification_README.md)
## Note - As of v0.0.5 it LuciferML supports only Classification.
## More To be Added Soon
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