more readme updates

README.md

@@ -6,17 +6,20 @@ at my University.
 Using Twitter to find the happiest state
 ==============================================================================
 
-+ Data_Science/
-+ Introduction to Data science
+
++ Folder: Data_Science/
++ Check The ReadMe: For how To run the code and discover for yourself which state is happiest
++ Class: Introduction to Data science Through Coursera
 + Washington University
 + Class Certification: https://drive.google.com/file/d/0B1C_HgqJ_YTrQmYyakdrWXdvV1E/edit?usp=sharing
-+ Check The ReadMe: For how To run the code and discover for yourself
 
-Every wounder which state is the happiest? This code tries to find out. It
+This code
 
 + Access the Twitter Programming Interface(API) using Python.
-+ We estimate the public's perception (the sentiment) of a particular term or phrase.
-+ analyzed the relationship between location and mood based on a sample of twitter data.
++ estimates the public's perception (the sentiment) of a particular term or phrase.
++ analyzes the relationship between location and mood based on a sample of twitter data.
+
+* The sample size is MUCH to small in order to fit within githubs suggested file size.
 
 
 Machine Learning
@@ -27,15 +30,18 @@ Machine Learning
 + Stanford University
 + No Certification yet - class in progress
 
-Vectorized backpropagation which allowed for a better trained Neural Network.
+This code is accomplishes Vectorized backpropagation, which allows for a
+better trained Neural Network.
 
 Dijstra's Algorithm
 =============================================================================
 
- + dijkstra/
- + Algorithms: Design and Analysis, Part 1
- + Stanford University
- + Class Certification: https://drive.google.com/file/d/0B1C_HgqJ_YTrQmhHVWcxWnVJUTA/edit?usp=sharing
+
++ dijkstra/
++ Check the infile readme for how to create your own test cases.
++ Algorithms: Design and Analysis, Part 1
++ Stanford University
++ Class Certification: https://drive.google.com/file/d/0B1C_HgqJ_YTrQmhHVWcxWnVJUTA/edit?usp=sharing
 
 I had learned this algorithm in an early class so i jumped on the
 opportunity to code up a test_generator.py that produce test_files and
@@ -46,10 +52,11 @@ Take a look at the Readme in the file for more!
 Linear Algebra ... with code??!?
 ==============================================================================
 
+
 + linear_algebra.py
++ I was class Promoted to class Teacher Assistant
 + Coding the Matrix: Linear Algebra through Computer Science
 + Brown University
-+ I was class TA
 + Class Certification: https://drive.google.com/file/d/0B1C_HgqJ_YTrajRtZ1dzemkyVkE/edit?usp=sharing
 
 Think back to linear Algebra... to painful? This file gives a sample of
@@ -61,12 +68,13 @@ Algorithm Analysis: DFS vs Source Removal
 ==========================================================================
 
 + topology/
++ Check infile readme for how to run the code
 + Algorithms Design and Analysis
 + Wayne State
 + Degree expected Dec, 2014
 
 The code in directory explains which algorithm has the better running time
-By using Pythongs Timeit module.For the final score check the Readme. I employed
+By using Pythons Timeit module. For the final score check the Readme. I employed
 some rather unorthodox data structures in both algorithms. For instance, my DFS and
 source removal both benefit from a slight running time boost from using sets
 to keep track of visited nodes.