alvarofierroclavero Goto Github PK

2015lab10

2015lab11

Overview of a project: Food Inspection Forecasting

2015lab3

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

2015lab5

Lab 5, the first on Machine Learning!

2015lab6

2015lab7

Decison Trees, Random Forrests, Ensemble Methods

2015lab8

AWS, Vagrant, and Spark

2015lab9

algorithm-design

Code related to the text book Algorithm Design by Kleinberg and Tardos

an-introduction-to-interactive-programming-in-python

I will post my solutions to the labs from the Coursera class An Introduction to Interactive Programming in Python taught by Joe Warren, Scott Rixner, John Greiner and Stephen Wong from March 24, 2014 to May 26, 2014 here upon completion.

analyzing-visualizing-data-powerbi

This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.

applied-machine-learning

Course files for DAT203.3x: Applied Machine Learning

azure-demo

chord-recognition

Chord recognition in songs using Viterbi algorithm - Wrote a Python code which takes any audio file and converts it into a chromogram. It then computes the distance matrix between features and template, further applying Viterbi algorithm to generate corresponding chords.

chordrecog

chord recognition using an HMM and neural network hybrid

chordrecognition

CMPT 419 Machine Learning Project

chordse

Generates chromagram vectors from any input audio to be used in chord recognition or other music analysis.

collective_intelligence

Code for Toby Segaran's popular book, "Programming Collective Intelligence".

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data-wrangling-with-mongodb

Data Wrangling with MongoDB class code

datasci_course_materials

Public repository for course materials for the Data Science at Scale Specialization at Coursera

datasciencecoursera

datascienceresources

Open Source Data Science Resources.

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasharing

The Leek group guide to data sharing

deeplearning

Deep Learning (Python, C/C++, Java, Scala)