# Analizing Data with Python
## Overview
This folder contains some code developed as exercise during the course (ML0101EN) Machine Learning with Python: A Practical Introduction by IBM at edX.
The codes developed here were **not** developed by me from beginning to end, but completed with the intention of fix the knowledge adquired and developed.

### Expected content
<img src="/images/ML IBM/4.png" height="150"> <img src="/images/ML IBM/3.png" height="150"> <img src="/images/ML IBM/2.png" height="150">
<img src="/images/ML IBM/1.png" height="150">

## Motivation
Learn how to solve machine learning problems with python for data science further projects with the support of some python libraries as pandas and scikit learn.

Certification link:
[(ML0101EN) Machine Learning with Python: A Practical Introduction by IBM at edX](https://courses.edx.org/certificates/f3cf4b8af78e42e5b3e339cc0336cf65)

## Technologies Used
<img src="/images/python.png" height="100"> <img src="/images/matplotlib.jpeg" height="100"> <img src="/images/pandas.png" height="100"> <img src="/images/numpy.png" height="100">
 <img src="/images/scipy.png" height="100">  <img src="/images/seaborn.png" height="100"> <img src="/images/sklearn.png" height="100">




