diff --git a/README.md b/README.md
index 16e74ca..d4163ac 100644
--- a/README.md
+++ b/README.md
@@ -2,14 +2,16 @@
 
 You don't need ~~Python~~ to train your own models and perform Machine Learning.
 
-This repository is linked to a series I have been writing about on Medium.com, regarding _ML in JS_. [Machine Learning with Javascript : Part 1](https://hackernoon.com/machine-learning-with-javascript-part-1-9b97f3ed4fe5)
+This repository is linked to a series I have been writing about on Medium.com, regarding _ML in JS_. 
+
+[Machine Learning with Javascript : Part 1](https://hackernoon.com/machine-learning-with-javascript-part-1-9b97f3ed4fe5)
 
 ## Repository Info
 
 The repository is organized as follows:
 
-1. **Linear Regression** has its own branch named `**linear-regression**`
-2. The upcoming tutorials will follow the same strategy.
+1. **Linear Regression** | [linear-regression](https://github.com/abhisheksoni27/machine-learning-with-js/tree/master/linear-regression)
+2. **k Nearest Neighbors** | [knn](https://github.com/abhisheksoni27/machine-learning-with-js/tree/master/knn)
 
 ## Get started
 
diff --git a/knn/README.md b/knn/README.md
new file mode 100644
index 0000000..ab26950
--- /dev/null
+++ b/knn/README.md
@@ -0,0 +1,2 @@
+# k Nearest Neighbours
+For a walk through, please refer to the article on Medium. [Machine Learning with Javascript : Part 2 (k Nearest Neighbours)](https://hackernoon.com/machine-learning-with-javascript-part-1-9b97f3ed4fe5)
\ No newline at end of file
diff --git a/knn/index.js b/knn/index.js
new file mode 100755
index 0000000..dede6a0
--- /dev/null
+++ b/knn/index.js
@@ -0,0 +1,120 @@
+const KNN = require('ml-knn');
+const csv = require('csvtojson');
+const prompt = require('prompt');
+const knn = new KNN();
+
+const csvFilePath = 'iris.csv'; // Data
+const names = ['sepalLength', 'sepalWidth', 'petalLength', 'petalWidth', 'type']; // For header
+
+let seperationSize; // To seperate training and test data
+
+let data = [], X = [], y = [];
+
+let trainingSetX = [], trainingSetY = [], testSetX = [], testSetY = [];
+
+csv({noheader: true, headers: names})
+    .fromFile(csvFilePath)
+    .on('json', (jsonObj) => {
+        data.push(jsonObj); // Push each object to data Array
+    })
+    .on('done', (error) => {
+        seperationSize = 0.7 * data.length;
+        data = shuffleArray(data);
+        dressData();
+    });
+
+function dressData() {
+
+    /**
+     * There are three different types of Iris flowers
+     * that this dataset classifies.
+     *
+     * 1. Iris Setosa (Iris-setosa)
+     * 2. Iris Versicolor (Iris-versicolor)
+     * 3. Iris Virginica (Iris-virginica)
+     *
+     * We are going to change these classes from Strings to numbers.
+     * Such that, a value of type equal to
+     * 0 would mean setosa,
+     * 1 would mean versicolor, and
+     * 3 would mean virginica
+     */
+
+    let types = new Set(); // To gather UNIQUE classes
+
+    data.forEach((row) => {
+        types.add(row.type);
+    });
+
+    typesArray = [...types]; // To save the different types of classes.
+
+    data.forEach((row) => {
+        let rowArray, typeNumber;
+
+        rowArray = Object.keys(row).map(key => parseFloat(row[key])).slice(0, 4);
+
+        typeNumber = typesArray.indexOf(row.type); // Convert type(String) to type(Number)
+
+        X.push(rowArray);
+        y.push(typeNumber);
+    });
+
+    trainingSetX = X.slice(0, seperationSize);
+    trainingSetY = y.slice(0, seperationSize);
+    testSetX = X.slice(seperationSize);
+    testSetY = y.slice(seperationSize);
+
+    train();
+}
+
+function train() {
+    knn.train(trainingSetX, trainingSetY, { k:7 });
+    test();
+}
+
+function test() {
+    const result = knn.predict(testSetX);
+    const testSetLength = testSetX.length;
+    const predictionError = error(result, testSetY);
+    console.log(`Test Set Size = ${testSetLength} and number of Misclassifications = ${predictionError}`);
+    predict();
+}
+
+function error(predicted, expected) {
+    let misclassifications = 0;
+    for (var index = 0; index < predicted.length; index++) {
+        if (predicted[index] !== expected[index]) {
+            misclassifications++;
+        }
+    }
+    return misclassifications;
+}
+
+function predict() {
+    let temp = [];
+    prompt.start();
+    
+    prompt.get(['Sepal Length', 'Sepal Width', 'Petal Length', 'Petal Width'], function (err, result) {
+        if (!err) {
+            for (var key in result) {
+                temp.push(parseFloat(result[key]));
+            }
+            console.log(`With ${temp} -- type =  ${knn.getSinglePrediction(temp)}`);
+        }
+    });
+}
+
+/**
+ * https://stackoverflow.com/a/12646864
+ * Randomize array element order in-place.
+ * Using Durstenfeld shuffle algorithm.
+ */
+function shuffleArray(array) {
+    for (var i = array.length - 1; i > 0; i--) {
+        var j = Math.floor(Math.random() * (i + 1));
+        var temp = array[i];
+        array[i] = array[j];
+        array[j] = temp;
+    }
+    return array;
+}
\ No newline at end of file
diff --git a/knn/iris.csv b/knn/iris.csv
new file mode 100755
index 0000000..a3490e0
--- /dev/null
+++ b/knn/iris.csv
@@ -0,0 +1,150 @@
+5.1,3.5,1.4,0.2,Iris-setosa
+4.9,3.0,1.4,0.2,Iris-setosa
+4.7,3.2,1.3,0.2,Iris-setosa
+4.6,3.1,1.5,0.2,Iris-setosa
+5.0,3.6,1.4,0.2,Iris-setosa
+5.4,3.9,1.7,0.4,Iris-setosa
+4.6,3.4,1.4,0.3,Iris-setosa
+5.0,3.4,1.5,0.2,Iris-setosa
+4.4,2.9,1.4,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+5.4,3.7,1.5,0.2,Iris-setosa
+4.8,3.4,1.6,0.2,Iris-setosa
+4.8,3.0,1.4,0.1,Iris-setosa
+4.3,3.0,1.1,0.1,Iris-setosa
+5.8,4.0,1.2,0.2,Iris-setosa
+5.7,4.4,1.5,0.4,Iris-setosa
+5.4,3.9,1.3,0.4,Iris-setosa
+5.1,3.5,1.4,0.3,Iris-setosa
+5.7,3.8,1.7,0.3,Iris-setosa
+5.1,3.8,1.5,0.3,Iris-setosa
+5.4,3.4,1.7,0.2,Iris-setosa
+5.1,3.7,1.5,0.4,Iris-setosa
+4.6,3.6,1.0,0.2,Iris-setosa
+5.1,3.3,1.7,0.5,Iris-setosa
+4.8,3.4,1.9,0.2,Iris-setosa
+5.0,3.0,1.6,0.2,Iris-setosa
+5.0,3.4,1.6,0.4,Iris-setosa
+5.2,3.5,1.5,0.2,Iris-setosa
+5.2,3.4,1.4,0.2,Iris-setosa
+4.7,3.2,1.6,0.2,Iris-setosa
+4.8,3.1,1.6,0.2,Iris-setosa
+5.4,3.4,1.5,0.4,Iris-setosa
+5.2,4.1,1.5,0.1,Iris-setosa
+5.5,4.2,1.4,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+5.0,3.2,1.2,0.2,Iris-setosa
+5.5,3.5,1.3,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+4.4,3.0,1.3,0.2,Iris-setosa
+5.1,3.4,1.5,0.2,Iris-setosa
+5.0,3.5,1.3,0.3,Iris-setosa
+4.5,2.3,1.3,0.3,Iris-setosa
+4.4,3.2,1.3,0.2,Iris-setosa
+5.0,3.5,1.6,0.6,Iris-setosa
+5.1,3.8,1.9,0.4,Iris-setosa
+4.8,3.0,1.4,0.3,Iris-setosa
+5.1,3.8,1.6,0.2,Iris-setosa
+4.6,3.2,1.4,0.2,Iris-setosa
+5.3,3.7,1.5,0.2,Iris-setosa
+5.0,3.3,1.4,0.2,Iris-setosa
+7.0,3.2,4.7,1.4,Iris-versicolor
+6.4,3.2,4.5,1.5,Iris-versicolor
+6.9,3.1,4.9,1.5,Iris-versicolor
+5.5,2.3,4.0,1.3,Iris-versicolor
+6.5,2.8,4.6,1.5,Iris-versicolor
+5.7,2.8,4.5,1.3,Iris-versicolor
+6.3,3.3,4.7,1.6,Iris-versicolor
+4.9,2.4,3.3,1.0,Iris-versicolor
+6.6,2.9,4.6,1.3,Iris-versicolor
+5.2,2.7,3.9,1.4,Iris-versicolor
+5.0,2.0,3.5,1.0,Iris-versicolor
+5.9,3.0,4.2,1.5,Iris-versicolor
+6.0,2.2,4.0,1.0,Iris-versicolor
+6.1,2.9,4.7,1.4,Iris-versicolor
+5.6,2.9,3.6,1.3,Iris-versicolor
+6.7,3.1,4.4,1.4,Iris-versicolor
+5.6,3.0,4.5,1.5,Iris-versicolor
+5.8,2.7,4.1,1.0,Iris-versicolor
+6.2,2.2,4.5,1.5,Iris-versicolor
+5.6,2.5,3.9,1.1,Iris-versicolor
+5.9,3.2,4.8,1.8,Iris-versicolor
+6.1,2.8,4.0,1.3,Iris-versicolor
+6.3,2.5,4.9,1.5,Iris-versicolor
+6.1,2.8,4.7,1.2,Iris-versicolor
+6.4,2.9,4.3,1.3,Iris-versicolor
+6.6,3.0,4.4,1.4,Iris-versicolor
+6.8,2.8,4.8,1.4,Iris-versicolor
+6.7,3.0,5.0,1.7,Iris-versicolor
+6.0,2.9,4.5,1.5,Iris-versicolor
+5.7,2.6,3.5,1.0,Iris-versicolor
+5.5,2.4,3.8,1.1,Iris-versicolor
+5.5,2.4,3.7,1.0,Iris-versicolor
+5.8,2.7,3.9,1.2,Iris-versicolor
+6.0,2.7,5.1,1.6,Iris-versicolor
+5.4,3.0,4.5,1.5,Iris-versicolor
+6.0,3.4,4.5,1.6,Iris-versicolor
+6.7,3.1,4.7,1.5,Iris-versicolor
+6.3,2.3,4.4,1.3,Iris-versicolor
+5.6,3.0,4.1,1.3,Iris-versicolor
+5.5,2.5,4.0,1.3,Iris-versicolor
+5.5,2.6,4.4,1.2,Iris-versicolor
+6.1,3.0,4.6,1.4,Iris-versicolor
+5.8,2.6,4.0,1.2,Iris-versicolor
+5.0,2.3,3.3,1.0,Iris-versicolor
+5.6,2.7,4.2,1.3,Iris-versicolor
+5.7,3.0,4.2,1.2,Iris-versicolor
+5.7,2.9,4.2,1.3,Iris-versicolor
+6.2,2.9,4.3,1.3,Iris-versicolor
+5.1,2.5,3.0,1.1,Iris-versicolor
+5.7,2.8,4.1,1.3,Iris-versicolor
+6.3,3.3,6.0,2.5,Iris-virginica
+5.8,2.7,5.1,1.9,Iris-virginica
+7.1,3.0,5.9,2.1,Iris-virginica
+6.3,2.9,5.6,1.8,Iris-virginica
+6.5,3.0,5.8,2.2,Iris-virginica
+7.6,3.0,6.6,2.1,Iris-virginica
+4.9,2.5,4.5,1.7,Iris-virginica
+7.3,2.9,6.3,1.8,Iris-virginica
+6.7,2.5,5.8,1.8,Iris-virginica
+7.2,3.6,6.1,2.5,Iris-virginica
+6.5,3.2,5.1,2.0,Iris-virginica
+6.4,2.7,5.3,1.9,Iris-virginica
+6.8,3.0,5.5,2.1,Iris-virginica
+5.7,2.5,5.0,2.0,Iris-virginica
+5.8,2.8,5.1,2.4,Iris-virginica
+6.4,3.2,5.3,2.3,Iris-virginica
+6.5,3.0,5.5,1.8,Iris-virginica
+7.7,3.8,6.7,2.2,Iris-virginica
+7.7,2.6,6.9,2.3,Iris-virginica
+6.0,2.2,5.0,1.5,Iris-virginica
+6.9,3.2,5.7,2.3,Iris-virginica
+5.6,2.8,4.9,2.0,Iris-virginica
+7.7,2.8,6.7,2.0,Iris-virginica
+6.3,2.7,4.9,1.8,Iris-virginica
+6.7,3.3,5.7,2.1,Iris-virginica
+7.2,3.2,6.0,1.8,Iris-virginica
+6.2,2.8,4.8,1.8,Iris-virginica
+6.1,3.0,4.9,1.8,Iris-virginica
+6.4,2.8,5.6,2.1,Iris-virginica
+7.2,3.0,5.8,1.6,Iris-virginica
+7.4,2.8,6.1,1.9,Iris-virginica
+7.9,3.8,6.4,2.0,Iris-virginica
+6.4,2.8,5.6,2.2,Iris-virginica
+6.3,2.8,5.1,1.5,Iris-virginica
+6.1,2.6,5.6,1.4,Iris-virginica
+7.7,3.0,6.1,2.3,Iris-virginica
+6.3,3.4,5.6,2.4,Iris-virginica
+6.4,3.1,5.5,1.8,Iris-virginica
+6.0,3.0,4.8,1.8,Iris-virginica
+6.9,3.1,5.4,2.1,Iris-virginica
+6.7,3.1,5.6,2.4,Iris-virginica
+6.9,3.1,5.1,2.3,Iris-virginica
+5.8,2.7,5.1,1.9,Iris-virginica
+6.8,3.2,5.9,2.3,Iris-virginica
+6.7,3.3,5.7,2.5,Iris-virginica
+6.7,3.0,5.2,2.3,Iris-virginica
+6.3,2.5,5.0,1.9,Iris-virginica
+6.5,3.0,5.2,2.0,Iris-virginica
+6.2,3.4,5.4,2.3,Iris-virginica
+5.9,3.0,5.1,1.8,Iris-virginica
diff --git a/linear-regression/README.md b/linear-regression/README.md
new file mode 100644
index 0000000..8803424
--- /dev/null
+++ b/linear-regression/README.md
@@ -0,0 +1,2 @@
+# Linear Regression
+For a walk through, please refer to the article on Medium. [Machine Learning with Javascript : Part 1 (Linear Regression)](https://hackernoon.com/machine-learning-with-javascript-part-1-9b97f3ed4fe5)
\ No newline at end of file
diff --git a/package.json b/package.json
index 7266c6d..5a63faf 100755
--- a/package.json
+++ b/package.json
@@ -11,6 +11,8 @@
   "license": "ISC",
   "dependencies": {
     "csvtojson": "^1.1.6",
-    "ml-regression": "^4.2.1"
+    "ml-knn": "^1.0.0",
+    "ml-regression": "^4.2.1",
+    "prompt": "^1.0.0"
   }
 }
diff --git a/yarn.lock b/yarn.lock
index 5098f67..007120d 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -2,6 +2,37 @@
 # yarn lockfile v1
 
 
+async@~0.9.0:
+  version "0.9.2"
+  resolved "https://registry.yarnpkg.com/async/-/async-0.9.2.tgz#aea74d5e61c1f899613bf64bda66d4c78f2fd17d"
+
+async@~1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/async/-/async-1.0.0.tgz#f8fc04ca3a13784ade9e1641af98578cfbd647a9"
+
+balanced-match@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/balanced-match/-/balanced-match-1.0.0.tgz#89b4d199ab2bee49de164ea02b89ce462d71b767"
+
+brace-expansion@^1.1.7:
+  version "1.1.8"
+  resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-1.1.8.tgz#c07b211c7c952ec1f8efd51a77ef0d1d3990a292"
+  dependencies:
+    balanced-match "^1.0.0"
+    concat-map "0.0.1"
+
+colors@1.0.x:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/colors/-/colors-1.0.3.tgz#0433f44d809680fdeb60ed260f1b0c262e82a40b"
+
+colors@^1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/colors/-/colors-1.1.2.tgz#168a4701756b6a7f51a12ce0c97bfa28c084ed63"
+
+concat-map@0.0.1:
+  version "0.0.1"
+  resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
+
 csvtojson@^1.1.6:
   version "1.1.6"
   resolved "https://registry.yarnpkg.com/csvtojson/-/csvtojson-1.1.6.tgz#b67accbff21a47312ce5d9253f5e50b0fc09eb18"
@@ -9,10 +40,52 @@ csvtojson@^1.1.6:
     lodash "^4.17.3"
     strip-bom "1.0.0"
 
+cycle@1.0.x:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/cycle/-/cycle-1.0.3.tgz#21e80b2be8580f98b468f379430662b046c34ad2"
+
+deep-equal@~0.2.1:
+  version "0.2.2"
+  resolved "https://registry.yarnpkg.com/deep-equal/-/deep-equal-0.2.2.tgz#84b745896f34c684e98f2ce0e42abaf43bba017d"
+
+eyes@0.1.x:
+  version "0.1.8"
+  resolved "https://registry.yarnpkg.com/eyes/-/eyes-0.1.8.tgz#62cf120234c683785d902348a800ef3e0cc20bc0"
+
 first-chunk-stream@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/first-chunk-stream/-/first-chunk-stream-1.0.0.tgz#59bfb50cd905f60d7c394cd3d9acaab4e6ad934e"
 
+fs.realpath@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/fs.realpath/-/fs.realpath-1.0.0.tgz#1504ad2523158caa40db4a2787cb01411994ea4f"
+
+glob@^7.0.5:
+  version "7.1.2"
+  resolved "https://registry.yarnpkg.com/glob/-/glob-7.1.2.tgz#c19c9df9a028702d678612384a6552404c636d15"
+  dependencies:
+    fs.realpath "^1.0.0"
+    inflight "^1.0.4"
+    inherits "2"
+    minimatch "^3.0.4"
+    once "^1.3.0"
+    path-is-absolute "^1.0.0"
+
+i@0.3.x:
+  version "0.3.5"
+  resolved "https://registry.yarnpkg.com/i/-/i-0.3.5.tgz#1d2b854158ec8169113c6cb7f6b6801e99e211d5"
+
+inflight@^1.0.4:
+  version "1.0.6"
+  resolved "https://registry.yarnpkg.com/inflight/-/inflight-1.0.6.tgz#49bd6331d7d02d0c09bc910a1075ba8165b56df9"
+  dependencies:
+    once "^1.3.0"
+    wrappy "1"
+
+inherits@2:
+  version "2.0.3"
+  resolved "https://registry.yarnpkg.com/inherits/-/inherits-2.0.3.tgz#633c2c83e3da42a502f52466022480f4208261de"
+
 is-finite@^1.0.0:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/is-finite/-/is-finite-1.0.2.tgz#cc6677695602be550ef11e8b4aa6305342b6d0aa"
@@ -29,10 +102,30 @@ is-utf8@^0.2.0:
   version "0.2.1"
   resolved "https://registry.yarnpkg.com/is-utf8/-/is-utf8-0.2.1.tgz#4b0da1442104d1b336340e80797e865cf39f7d72"
 
+isstream@0.1.x:
+  version "0.1.2"
+  resolved "https://registry.yarnpkg.com/isstream/-/isstream-0.1.2.tgz#47e63f7af55afa6f92e1500e690eb8b8529c099a"
+
 lodash@^4.17.3:
   version "4.17.4"
   resolved "https://registry.yarnpkg.com/lodash/-/lodash-4.17.4.tgz#78203a4d1c328ae1d86dca6460e369b57f4055ae"
 
+minimatch@^3.0.4:
+  version "3.0.4"
+  resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.0.4.tgz#5166e286457f03306064be5497e8dbb0c3d32083"
+  dependencies:
+    brace-expansion "^1.1.7"
+
+minimist@0.0.8:
+  version "0.0.8"
+  resolved "https://registry.yarnpkg.com/minimist/-/minimist-0.0.8.tgz#857fcabfc3397d2625b8228262e86aa7a011b05d"
+
+mkdirp@0.x.x:
+  version "0.5.1"
+  resolved "https://registry.yarnpkg.com/mkdirp/-/mkdirp-0.5.1.tgz#30057438eac6cf7f8c4767f38648d6697d75c903"
+  dependencies:
+    minimist "0.0.8"
+
 ml-array-utils@^0.3.0:
   version "0.3.0"
   resolved "https://registry.yarnpkg.com/ml-array-utils/-/ml-array-utils-0.3.0.tgz#c0cc5afdc1cb051f5a83b1ce71641c243672f649"
@@ -43,6 +136,14 @@ ml-distance-euclidean@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/ml-distance-euclidean/-/ml-distance-euclidean-1.0.0.tgz#08447c2233641a2b2a9b4c29e5f792d28f1d5b95"
 
+ml-distance@^2.0.1:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/ml-distance/-/ml-distance-2.1.1.tgz#f6cc1f2970819cb42e68c68de363309ba3bd079f"
+  dependencies:
+    ml-distance-euclidean "^1.0.0"
+    ml-stat "^1.0.1"
+    ml-tree-similarity "^0.0.0"
+
 ml-kernel-gaussian@^2.0.1:
   version "2.0.1"
   resolved "https://registry.yarnpkg.com/ml-kernel-gaussian/-/ml-kernel-gaussian-2.0.1.tgz#a01aef9f44f5bcc11341b09a383b1b32f11933c0"
@@ -67,6 +168,12 @@ ml-kernel@^2.0.0:
     ml-kernel-sigmoid "^1.0.0"
     ml-matrix "^3.0.0"
 
+ml-knn@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/ml-knn/-/ml-knn-1.0.0.tgz#6a98ea95db5b901db06d0b4220600153c2ef89d5"
+  dependencies:
+    ml-distance "^2.0.1"
+
 ml-matrix@^3.0.0:
   version "3.0.0"
   resolved "https://registry.yarnpkg.com/ml-matrix/-/ml-matrix-3.0.0.tgz#e8dd9ee2e976757f0d4e10512cc0466b7f324ecd"
@@ -86,13 +193,101 @@ ml-stat@^1.0.1, ml-stat@^1.3.3:
   version "1.3.3"
   resolved "https://registry.yarnpkg.com/ml-stat/-/ml-stat-1.3.3.tgz#8a5493b0f67382fbf705c260e070436655a7dcfa"
 
+ml-tree-similarity@^0.0.0:
+  version "0.0.0"
+  resolved "https://registry.yarnpkg.com/ml-tree-similarity/-/ml-tree-similarity-0.0.0.tgz#0884655798caada2cc6f1f137457b4b0a2ab6cdd"
+
+mute-stream@~0.0.4:
+  version "0.0.7"
+  resolved "https://registry.yarnpkg.com/mute-stream/-/mute-stream-0.0.7.tgz#3075ce93bc21b8fab43e1bc4da7e8115ed1e7bab"
+
+ncp@1.0.x:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/ncp/-/ncp-1.0.1.tgz#d15367e5cb87432ba117d2bf80fdf45aecfb4246"
+
 number-is-nan@^1.0.0:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/number-is-nan/-/number-is-nan-1.0.1.tgz#097b602b53422a522c1afb8790318336941a011d"
 
+once@^1.3.0:
+  version "1.4.0"
+  resolved "https://registry.yarnpkg.com/once/-/once-1.4.0.tgz#583b1aa775961d4b113ac17d9c50baef9dd76bd1"
+  dependencies:
+    wrappy "1"
+
+path-is-absolute@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/path-is-absolute/-/path-is-absolute-1.0.1.tgz#174b9268735534ffbc7ace6bf53a5a9e1b5c5f5f"
+
+pkginfo@0.3.x:
+  version "0.3.1"
+  resolved "https://registry.yarnpkg.com/pkginfo/-/pkginfo-0.3.1.tgz#5b29f6a81f70717142e09e765bbeab97b4f81e21"
+
+pkginfo@0.x.x:
+  version "0.4.0"
+  resolved "https://registry.yarnpkg.com/pkginfo/-/pkginfo-0.4.0.tgz#349dbb7ffd38081fcadc0853df687f0c7744cd65"
+
+prompt@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/prompt/-/prompt-1.0.0.tgz#8e57123c396ab988897fb327fd3aedc3e735e4fe"
+  dependencies:
+    colors "^1.1.2"
+    pkginfo "0.x.x"
+    read "1.0.x"
+    revalidator "0.1.x"
+    utile "0.3.x"
+    winston "2.1.x"
+
+read@1.0.x:
+  version "1.0.7"
+  resolved "https://registry.yarnpkg.com/read/-/read-1.0.7.tgz#b3da19bd052431a97671d44a42634adf710b40c4"
+  dependencies:
+    mute-stream "~0.0.4"
+
+revalidator@0.1.x:
+  version "0.1.8"
+  resolved "https://registry.yarnpkg.com/revalidator/-/revalidator-0.1.8.tgz#fece61bfa0c1b52a206bd6b18198184bdd523a3b"
+
+rimraf@2.x.x:
+  version "2.6.1"
+  resolved "https://registry.yarnpkg.com/rimraf/-/rimraf-2.6.1.tgz#c2338ec643df7a1b7fe5c54fa86f57428a55f33d"
+  dependencies:
+    glob "^7.0.5"
+
+stack-trace@0.0.x:
+  version "0.0.10"
+  resolved "https://registry.yarnpkg.com/stack-trace/-/stack-trace-0.0.10.tgz#547c70b347e8d32b4e108ea1a2a159e5fdde19c0"
+
 strip-bom@1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/strip-bom/-/strip-bom-1.0.0.tgz#85b8862f3844b5a6d5ec8467a93598173a36f794"
   dependencies:
     first-chunk-stream "^1.0.0"
     is-utf8 "^0.2.0"
+
+utile@0.3.x:
+  version "0.3.0"
+  resolved "https://registry.yarnpkg.com/utile/-/utile-0.3.0.tgz#1352c340eb820e4d8ddba039a4fbfaa32ed4ef3a"
+  dependencies:
+    async "~0.9.0"
+    deep-equal "~0.2.1"
+    i "0.3.x"
+    mkdirp "0.x.x"
+    ncp "1.0.x"
+    rimraf "2.x.x"
+
+winston@2.1.x:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/winston/-/winston-2.1.1.tgz#3c9349d196207fd1bdff9d4bc43ef72510e3a12e"
+  dependencies:
+    async "~1.0.0"
+    colors "1.0.x"
+    cycle "1.0.x"
+    eyes "0.1.x"
+    isstream "0.1.x"
+    pkginfo "0.3.x"
+    stack-trace "0.0.x"
+
+wrappy@1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/wrappy/-/wrappy-1.0.2.tgz#b5243d8f3ec1aa35f1364605bc0d1036e30ab69f"