cynco Goto Github PK

autoregression

Using autoregression on stocks and temperature data

awesome-spanish-nlp

Curated list of Linguistic Resources for doing NLP & CL on Spanish

axtria_string_matching

bizopstools

Code for tools developed by the BizOps team

characterizing_fitbit_walking_data

I clean up, munge, plot, and characterize personal movement monitoring data. This project offers examples of how to use the lubridate, plyr, and knitr R packages.

classifying_fitbit_data_with_random_forest_model

I test my machine learning prowess by predicting whether entries in FitBit data correspond to walking, running, or going up stairs. The Random Forest algorithm gives almost perfect accuracy and correctly predicts the 20 test cases.

cynco.github.io

Files for my user page, which you can view at

dsla-course

dsla-python

dsla-twitterstreamer

Notebook to retrieve a stream of tweets and save to a .txt file

example_of_cacheing_a_variable_in_r

Use set and get functions in R to cache a computationally-intensive result so that you can re-use that result without having to re-calculate it.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

generate_plots_of_uci_machine_learning_repository_data

Using data from the UCI Machine Learning Repository, we create code that generates various plots of energy consumption over time.

global-city-climate-time-series-forecasting

Perform autoregression to predict climate change in the next decade from dataset with temperatures, and other environmental metrics from hundreds of cities worldwide.

instacartdatamanipulation_dsla

Exploratory analysis of the Instacart grocery store purchase data

itunes-sql-machine-learning

Make an SQL database out of your iTunes music library and use python and machine learning algorithms to predict star ratings for all your songs.

lgbt_friend_flask_webapp_on_aws

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

looker_guides

Guides to get up and running with Looker!

merging_data_tables_in_r

Merge two datasets from the UC Irving Human Activity Recognition archive, use them to calculate means and standard deviations of variables.

mnist_digit_classification

Use Keras neural network model to perform digit recognition on the mnist dataset

odsc-east2018

"Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018.

pyspark-installation

Install and try out pyspark on your local machine

pystock-data

US stock market data since 2009

restaurant_anomaly

scikit-learn

scikit-learn: machine learning in Python

scipy_classification_of_iris_dataset

I use SciPy to train 6 ML algorithms on the Iris dataset to predict the species of each sample based on the petal and sepal length and width. I use a test harness with 10-fold cross validation. KNN gives the best results, with 90% accuracy on the validation set.

sdk-examples

Example source code and projects for the Looker SDKs

sentiment_analysis_of_2016_election_tweets

I perform sentiment analysis on tweets about Donald Trump and Hillary Clinton leading up to the 2016 presidential election. I also look for activity upticks corresponding to election debates and other events. I use the Twitter API and my R code to retrieve the tweets. The sentiment analysis is done using the tm (text mining) R package.

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython