Blog

04 Jun 2017 » Day100: Reflection
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03 Jun 2017 » Day99: The Bayesian & the Frequentist
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02 Jun 2017 » Day98: Scala
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01 Jun 2017 » Day97: Looking deep
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31 May 2017 » Day96: Boosting
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30 May 2017 » Day95: Random Forest & Extremely Randomized Trees
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29 May 2017 » Day94: Bagging
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28 May 2017 » Day93: Regression trees
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27 May 2017 » Day92: Setting up Travis CI
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26 May 2017 » Day91: Pip install Python package
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25 May 2017 » Day90: Minimal Python package
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24 May 2017 » Day89: Lasso
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23 May 2017 » Day88: Ridge Regression
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22 May 2017 » Day87: A bit of bioinformatics pt3
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21 May 2017 » Day86: A bit of bioinformatics pt2
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20 May 2017 » Day85: Requesting financial data
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19 May 2017 » Day84: Bookdown
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18 May 2017 » Day83: Mapping street vendors
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17 May 2017 » Day82: Mapping in R
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16 May 2017 » Day81: A bit of bioinformatics
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15 May 2017 » Day80: Drawing maps in Python
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14 May 2017 » Day79: Urban data
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13 May 2017 » Day78: Installing Scala
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12 May 2017 » Day77: Updating emojis
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11 May 2017 » Day76: Emoji context
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10 May 2017 » Day75: Emoji during the election
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09 May 2017 » Day74: emojifont
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08 May 2017 » Day73: Displaying emojis (Bug)
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07 May 2017 » Day72: Counting emojis
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06 May 2017 » Day71: Recognizing emojis
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05 May 2017 » Day70: Tidying Twitter
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04 May 2017 » Day69: Twitter API
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03 May 2017 » Day68: csv,conf,pdx (day2)
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02 May 2017 » Day67: csv,conf,pdx
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01 May 2017 » Day66: Hierarchical clustering
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30 Apr 2017 » Day65: Cosine similarity
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29 Apr 2017 » Day64: TD-IDF
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28 Apr 2017 » Day63: Data exploration pt2
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27 Apr 2017 » Day62: Data exploration pt1
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26 Apr 2017 » Day61: Words in title
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25 Apr 2017 » Day60: Preparing for R workshop
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24 Apr 2017 » Day59: R::rvest for webscraping
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23 Apr 2017 » Day58: New feature
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22 Apr 2017 » Day57: Caching results
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21 Apr 2017 » Day56: Finding the similar documents
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20 Apr 2017 » Day55: Minimizing document distances
Tagged with 100daysofcode, Machine Learning

19 Apr 2017 » Day54: Scala & Go
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18 Apr 2017 » Day53: SVD in Scikit-learn
Tagged with 100daysofcode, Machine Learning

17 Apr 2017 » Day52: Data storytelling
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16 Apr 2017 » Day51: Basic SVD
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15 Apr 2017 » Day50: Count matrix
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14 Apr 2017 » Day49: Text preprocessing
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13 Apr 2017 » Day48: Redesigning my website
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12 Apr 2017 » Day47: Adding forces in D3
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11 Apr 2017 » Day46: Editing D3
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10 Apr 2017 » Day45: GitHub repos
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09 Apr 2017 » Day44: Querying PostgreSQL
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08 Apr 2017 » Day43: Pandas to SQL
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07 Apr 2017 » Day42: Python to Postgres
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06 Apr 2017 » Day41: Getting topics
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05 Apr 2017 » Day40: Downloading data
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04 Apr 2017 » Day39: Algorithmic Trading, Machine Learning, PyData
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03 Apr 2017 » Day38: Refinement
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02 Apr 2017 » Day37: Data exploration from SQLite
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01 Apr 2017 » Day36: Interfaces
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31 Mar 2017 » Day35: Using connection weights
Tagged with 100daysofcode, Machine Learning

30 Mar 2017 » Day34: Getting the variable importance
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29 Mar 2017 » Day33: Garson's algorithm
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28 Mar 2017 » Day32: Variable importance in ANNs
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27 Mar 2017 » Day31: Saving neural networks
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26 Mar 2017 » Day30: A working CNN
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25 Mar 2017 » Day29: CNN structure
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24 Mar 2017 » Day28: Modularization (Python)
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23 Mar 2017 » Day27: Simple neural network in Lasagne
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22 Mar 2017 » Day26: Theano & Lasagne
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21 Mar 2017 » Day25: Evaluate with Kaggle
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20 Mar 2017 » Day24: Transforming categorical variables
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19 Mar 2017 » Day23: Using Seaborn & Linear Regression
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18 Mar 2017 » Day22: Splitting data, calculating metrics, cross-validations
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17 Mar 2017 » Day21: Cross-validation
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16 Mar 2017 » Day20: Important features
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15 Mar 2017 » Day19: Exploratory analysis
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14 Mar 2017 » Day18: Extracting from PostgreSQL
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13 Mar 2017 » Day17: Importing to PostgreSQL
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12 Mar 2017 » Day16: Intro to PostgreSQL
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11 Mar 2017 » Day15: Unit tests
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10 Mar 2017 » Day14: Developing an R package
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09 Mar 2017 » Day13: K-means clustering
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08 Mar 2017 » Day12: Visualizing high-dimensional data: TSNE & PCA
Tagged with 100daysofcode, Text mining,

07 Mar 2017 » Day11: Web scraping and matplotlib
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06 Mar 2017 » Day10: Feature selection
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04 Mar 2017 » Day09: Back to Kaggle and neural networks
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04 Mar 2017 » Day08: Flesch Reading Ease on Reddit
Tagged with 100daysofcode, Text mining,

03 Mar 2017 » Day07: Flesch reading ease
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02 Mar 2017 » Day06: Jupyter Notebook, meet Jekyll blog post
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01 Mar 2017 » Day05: Recognition with random forest
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28 Feb 2017 » Day04: D3
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27 Feb 2017 » Day03: APIs and sentiment analysis
Tagged with 100daysofcode, Text mining, Machine Learning

26 Feb 2017 » Day02: Neural network
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25 Feb 2017 » Day01: Kaggle competition
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25 Sep 2016 » Calculating the HMM state path probability
Tagged with Inspect

11 Jun 2016 » Perfectionism
Tagged with Data analysis

27 May 2016 » Scraping HTML & Javascript generated webpages
Tagged with Setup

22 May 2016 » Rating Noodler's Ink
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06 May 2016 » Posters submitted to ISMB
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25 Dec 2015 » Attendance in STAT547M
Tagged with Data analysis

29 Nov 2015 » Embed Gist
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01 Nov 2015 » Bad teeth
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27 Sep 2015 » STAT545A enrollment
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13 Sep 2015 » Blog setup
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