Added remaining personal projects

Signed-off-by: Ryan Lin <[email protected]>

_projects/QuantumML.md

@@ -7,7 +7,7 @@ importance: 1
 category: school
 related_publications: false
 ---
-For Stanford Online High School's UP135, the final project involved writing a brief paper a topic of your choosing. I decided to explore the structural similarities between a CNN and a quantum circuit. 
+For Stanford Online High School's UP135: Introduction to Quantum Computing, the final project involved writing a brief paper a topic of your choosing. I decided to explore the structural similarities between a CNN and a quantum circuit. 
 
 <embed src="{{ site.baseurl }}/assets/pdf/RyanLin-UP135-FinalProject.pdf" type="application/pdf" width="100%" height="600px" />
 

_projects/StockLSTM.md

@@ -0,0 +1,14 @@
+---
+layout: page
+title: Stock Prediction Using LSTMs With Sentiment Analysis
+# description: Using Pennylane and Tensorflow to explore hybrid Quantum models. 
+img: assets/img/StockLSTM.png
+importance: 1
+category: school
+related_publications: false
+---
+For Stanford Online High School's OM065: Data Science, we were able to do a final project on any topic of our choosing. I decided to attempt modeling stock trajectory with an LSTM that implemented sentiment analysis on news headlines time series data. 
+
+<embed src="{{ site.baseurl }}/assets/pdf/RyanLin-OM065-FinalProject.pdf" type="application/pdf" width="100%" height="600px" />
+
+For Stanford Online High School's OCS35: Advanced Topics in Computer Science: Computer Systems, the final project involved simulating an assembler and processor and implementing the Y86 architecture, which is a simplification of the popular X86 architecture. 

_projects/Y86.md

@@ -0,0 +1,10 @@
+---
+layout: page
+title: Assembler and Processor Simulation
+description: Y-86 Architecture.  
+img: assets/img/Y86.png
+importance: 1
+category: school
+related_publications: false
+---
+For Stanford Online High School's OM065: Data Science, we were able to do a final project on any topic of our choosing. I decided to attempt modeling stock trajectory with an LSTM that implemented sentiment analysis on news headlines time series data. See the <a href="https://github.com/Rlin232/Y-86">Github</a>. 

assets/json/resume.json

@@ -104,7 +104,7 @@
     },
     {
       "name": "Y86 Architecture Simulation",
-      "summary": "Programmed and implemented a simulator of a processor and assembler.",
+      "summary": "Programmed and implemented a simulator of a processor and assembler in Y86, a simplified version of X86.",
       "highlights": ["Computer Systems and Architecture", "Assembly"],
       "date": "2022-05-05",
       "url": "https://github.com/Rlin232/Y-86"