Metadata-Version: 2.4
Name: ml-new2-experiments
Version: 0.1.0
Summary: A collection of machine learning experiments from new2.ipynb
Home-page: https://github.com/example/ml-new2-experiments
Author: Vinith B
Author-email: vinith@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: seaborn
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# ML New2 Experiments

This package contains machine learning experiments extracted from a Jupyter notebook `new2.ipynb`.

The experiments cover:
- Univariate, Bivariate, Multivariate analysis
- Linear Regression
- Logistic Regression
- Decision Trees
- AdaBoost
- K-Nearest Neighbors (KNN)
- K-Means Clustering
- Principal Component Analysis (PCA)
- Support Vector Machines (SVM)
- Single and Multi Layer Perceptrons
