Metadata-Version: 2.1
Name: model_selection
Version: 0.0.1
Summary: A Library which provides more information about suitable Machine learning algorithm for your dataset
Home-page: https://github.com/ManikandanJeyabal/ChooseMyALGO
Author: Manikandan Jeyabal
Author-email: ManikandanJeyabal029@gmail.com
License: UNKNOWN
Description: # Model Selection
        
        ### Scope of This Project
        - As a beginner in Data science/Machine learning field, most of us having issue in **Feature Selection**,
        **Feature Extraction** and **Model Selection**. Algorithm-Finder can help you to solve this problem. using Algorithm-Finder
        you can achieve the below tasks and more.
            - **Model Selection**
            - **Feature Selection**
            - **Feature Extraction**
            - **Optimized tuning parameters**
        
        - This package mainly used scikit-learn for most of the estimators, by using Algorithm-Finder you can apply your dataset
        on below models
            - ALL --> ALL IN
            - MLR --> MultiLinearRegression
            - POLY --> PolynomialRegression
            - SVR --> SupportVectorRegression
            - DTREE --> DecisionTreeRegression & DecisionTreeClassification
            - RFR --> RandomForestRegression
            - SIGMOID --> LogisticRegression
            - KNN --> K-NearestNeighbours Classifier
            - SVM --> SupportVectorMachine Classifier
            - RFC --> RandomForestClassifier
            - BAYESIAN --> NaiveBayesClassifier
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
