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Machine Learning Algorithms

Some basic exploration and re-creation of machine learning algorithms.

Description

This project uses simple machine learning algorithms on financial and breast cancer data. There is also code to build the algorithms from scatsch, without the use of libraries.

Prerequisites

Some of the code requires some, or all of, the following libraries.

pandas
quandl
numpy
scikit-learn
pickle
matplotlib

as in

import pandas as pd
import quandl, math, datetime
import numpy as np
from sklearn import preprocessing, cross_validation, svm
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
from matplotlib import style
import pickle

Acknowledgements

  • This project is inspired by and built upon fundamentals of Sentdex
  • Some of the code uses a breast cancer dataset from the University of Wisconsin

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Some basic exploration and re-creation of machine learning algorithms in Python.

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