Adding to iris machine learning

Author: vprusso

machine_learning/iris.py

@@ -0,0 +1,28 @@
+# Iris Classification Model: Machine learning model that will
+# allow us to classify species of iris flowers. This application
+# will introduce many rudimentary features and concepts of machine
+# learning and is a good use case for these types of models.
+
+# Use case: Botanist wants to determine the species of an
+# iris flower based on characteristics of that flower. For
+# instance attributes including petal length, width, etc.
+# are the "features" that determine the classification
+# of a given iris flower. 
+
+# Import the iris dataset as provided by the sklearn
+# Python module:
+from sklearn.datasets import load_iris
+iris = load_iris()
+
+# Iris object returned is a 'Bunch' object. This is similar to a 
+# Python dictionary as it cntains keys and values:
+# print(iris.keys())
+
+# Value of DESCR is a description of the dataset.
+# Here are the first few values of the description
+print(iris['DESCR'][:200] + "\n...")
+
+# The value with key "target_names" consists of an
+# array of strings with species that we intent to predict.
+iris['target_names']
+

system_design/system_design_photo_sharing.md

@@ -58,16 +58,47 @@ title: "System Design: Photo Sharing Application"
 - Capacity figures obtained from: Educative.
 . . .
 
-    1. 
+    1. 500 million total users. 1 million active users daily.
+. . . 
 
-    2. 
+    2. 2 million photos each day with roughly ~23 photos uploaded each second.
+. . .
+
+    3. Average photo size will be around ~200KB:
+        2 million * 200 KB = 400 GB
+. . .
+        
+    4. Total space required (assuming we store photos for 10 years):
+        400 GB * 365 (days) * 10 (years) ~= 1425 TB
+
+# High-level Requirements
+
+- Users should be able to:
+
+    1. Upload image.
+. . .
+
+    2. Search for image.
+. . .
 
-    3. 
 
-    4. 
+- This will involve some storage solution for:
+
+    1. Storing the images that are uploaded.
+. . .
+
+    2. Storing metadata about the images (caption, location, etc.)
+
+# Database Design
+
+- 
+
 
 # Test
+
 -
 
 # Further Resources 
 
+- Content based on: 
+[Designing Instagram by Educative](https://www.educative.io/collection/page/5668639101419520/5649050225344512/5673385510043648)