Machine Learning in Practice with python librarys (Pandas & Numpy & scikit-learn) alongside with machine learning classifiers Decision Tree(DT), LinearRegression(LR) and Quandl API.
| Name | Description | Link |
|---|---|---|
| NumPy | a powerful N-dimensional array object |
PyPI |
| SkLearn | scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. |
PyPI |
| Pandas | pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. |
PyPI |