- 04 Jun 2017 » Day100: Reflection
- 03 Jun 2017 » Day99: The Bayesian & the Frequentist
- 02 Jun 2017 » Day98: Scala
- 01 Jun 2017 » Day97: Looking deep
- 31 May 2017 » Day96: Boosting
- 30 May 2017 » Day95: Random Forest & Extremely Randomized Trees
- 29 May 2017 » Day94: Bagging
- 28 May 2017 » Day93: Regression trees
- 27 May 2017 » Day92: Setting up Travis CI
- 26 May 2017 » Day91: Pip install Python package
- 25 May 2017 » Day90: Minimal Python package
- 24 May 2017 » Day89: Lasso
- 23 May 2017 » Day88: Ridge Regression
- 22 May 2017 » Day87: A bit of bioinformatics pt3
- 21 May 2017 » Day86: A bit of bioinformatics pt2
- 20 May 2017 » Day85: Requesting financial data
- 19 May 2017 » Day84: Bookdown
- 18 May 2017 » Day83: Mapping street vendors
- 17 May 2017 » Day82: Mapping in R
- 16 May 2017 » Day81: A bit of bioinformatics
- 15 May 2017 » Day80: Drawing maps in Python
- 14 May 2017 » Day79: Urban data
- 13 May 2017 » Day78: Installing Scala
- 12 May 2017 » Day77: Updating emojis
- 11 May 2017 » Day76: Emoji context
- 10 May 2017 » Day75: Emoji during the election
- 09 May 2017 » Day74: emojifont
- 08 May 2017 » Day73: Displaying emojis (Bug)
- 07 May 2017 » Day72: Counting emojis
- 06 May 2017 » Day71: Recognizing emojis
- 05 May 2017 » Day70: Tidying Twitter
- 04 May 2017 » Day69: Twitter API
- 03 May 2017 » Day68: csv,conf,pdx (day2)
- 02 May 2017 » Day67: csv,conf,pdx
- 01 May 2017 » Day66: Hierarchical clustering
- 30 Apr 2017 » Day65: Cosine similarity
- 29 Apr 2017 » Day64: TD-IDF
- 28 Apr 2017 » Day63: Data exploration pt2
- 27 Apr 2017 » Day62: Data exploration pt1
- 26 Apr 2017 » Day61: Words in title
- 25 Apr 2017 » Day60: Preparing for R workshop
- 24 Apr 2017 » Day59: R::rvest for webscraping
- 23 Apr 2017 » Day58: New feature
- 22 Apr 2017 » Day57: Caching results
- 21 Apr 2017 » Day56: Finding the similar documents
- 20 Apr 2017 » Day55: Minimizing document distances
- 19 Apr 2017 » Day54: Scala & Go
- 18 Apr 2017 » Day53: SVD in Scikit-learn
- 17 Apr 2017 » Day52: Data storytelling
- 16 Apr 2017 » Day51: Basic SVD
- 15 Apr 2017 » Day50: Count matrix
- 14 Apr 2017 » Day49: Text preprocessing
- 13 Apr 2017 » Day48: Redesigning my website
- 12 Apr 2017 » Day47: Adding forces in D3
- 11 Apr 2017 » Day46: Editing D3
- 10 Apr 2017 » Day45: GitHub repos
- 09 Apr 2017 » Day44: Querying PostgreSQL
- 08 Apr 2017 » Day43: Pandas to SQL
- 07 Apr 2017 » Day42: Python to Postgres
- 06 Apr 2017 » Day41: Getting topics
- 05 Apr 2017 » Day40: Downloading data
- 04 Apr 2017 » Day39: Algorithmic Trading, Machine Learning, PyData
- 03 Apr 2017 » Day38: Refinement
- 02 Apr 2017 » Day37: Data exploration from SQLite
- 01 Apr 2017 » Day36: Interfaces
- 31 Mar 2017 » Day35: Using connection weights
- 30 Mar 2017 » Day34: Getting the variable importance
- 29 Mar 2017 » Day33: Garson's algorithm
- 28 Mar 2017 » Day32: Variable importance in ANNs
- 27 Mar 2017 » Day31: Saving neural networks
- 26 Mar 2017 » Day30: A working CNN
- 25 Mar 2017 » Day29: CNN structure
- 24 Mar 2017 » Day28: Modularization (Python)
- 23 Mar 2017 » Day27: Simple neural network in Lasagne
- 22 Mar 2017 » Day26: Theano & Lasagne
- 21 Mar 2017 » Day25: Evaluate with Kaggle
- 20 Mar 2017 » Day24: Transforming categorical variables
- 19 Mar 2017 » Day23: Using Seaborn & Linear Regression
- 18 Mar 2017 » Day22: Splitting data, calculating metrics, cross-validations
- 17 Mar 2017 » Day21: Cross-validation
- 16 Mar 2017 » Day20: Important features
- 15 Mar 2017 » Day19: Exploratory analysis
- 14 Mar 2017 » Day18: Extracting from PostgreSQL
- 13 Mar 2017 » Day17: Importing to PostgreSQL
- 12 Mar 2017 » Day16: Intro to PostgreSQL
- 11 Mar 2017 » Day15: Unit tests
- 10 Mar 2017 » Day14: Developing an R package
- 09 Mar 2017 » Day13: K-means clustering
- 08 Mar 2017 » Day12: Visualizing high-dimensional data: TSNE & PCA
- 07 Mar 2017 » Day11: Web scraping and matplotlib
- 06 Mar 2017 » Day10: Feature selection
- 04 Mar 2017 » Day09: Back to Kaggle and neural networks
- 04 Mar 2017 » Day08: Flesch Reading Ease on Reddit
- 03 Mar 2017 » Day07: Flesch reading ease
- 02 Mar 2017 » Day06: Jupyter Notebook, meet Jekyll blog post
- 01 Mar 2017 » Day05: Recognition with random forest
- 28 Feb 2017 » Day04: D3
- 27 Feb 2017 » Day03: APIs and sentiment analysis
- 26 Feb 2017 » Day02: Neural network
- 25 Feb 2017 » Day01: Kaggle competition