Pinned Repositories
Census-Income
Given various features, the aim is to build a predictive model to determine the income level for people in US. The income levels are binned at below 50K and above 50K.
Collaborative-Filtering-On-Movies
This notebook will demonstrate how to use Apache Spark to recommend movies to a user. I will start with some basic techniques, and then use the Spark ML library's Alternating Least Squares method to make more sophisticated predictions.
DS_Interview_Question
Entity-Resolution-On-Text-Similarity
In this project, we need to find out commercial products listed on Google that refer to the same entity across Amazon by comparing the similarity. This problem is called Entity Resolution.
MLND.Project1
Predicting Boston Housing Prices
MLND.Project4
Leveraged reinforcement techniques to train a smartcab how to drive in an idealized grid-like city, with roads going North-South and East-West.
Notes-of-Elements-of-Programming-Interviews
Rendering
All assignments from the rendering course taken in NTU, 2013
UCI-Power-Plant
The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load.
UD953
Udacity - Linear Algebra Refresher Course
YungChunLu's Repositories
YungChunLu/AIND-NLP-Capstone
YungChunLu/AIND-Recognizer
YungChunLu/models
Models built with TensorFlow
YungChunLu/AIND
AIND
YungChunLu/AIND-Planning
YungChunLu/AIND-Isolation
YungChunLu/aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
YungChunLu/ArthurLu.github.io
YungChunLu/AIND-Sudoku-1
YungChunLu/AIND-Simulated_Annealing
YungChunLu/UD730
Udacity - Deep Learning
YungChunLu/AIND-Sudoku
YungChunLu/Algorithms_In_Python
Solution Code / Data Structures & Algorithms
YungChunLu/UD253-Design_of_Computer_Program
This course focuses on learning how to model problems, and how to optimize performance by using some of the advanced features of Python.
YungChunLu/Server-Log-Analysis
This notebook will demonstrate how to use Apache Spark to perform web log analysis.
YungChunLu/Entity-Resolution-On-Text-Similarity
In this project, we need to find out commercial products listed on Google that refer to the same entity across Amazon by comparing the similarity. This problem is called Entity Resolution.
YungChunLu/Collaborative-Filtering-On-Movies
This notebook will demonstrate how to use Apache Spark to recommend movies to a user. I will start with some basic techniques, and then use the Spark ML library's Alternating Least Squares method to make more sophisticated predictions.
YungChunLu/UCI-Power-Plant
The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load.
YungChunLu/Leetcode
All my algorithm solutions on Leetcode problems
YungChunLu/Kaggle.Titanic
Predict which passengers survived the the sinking of the RMS Titanic is one of the most infamous shipwrecks in history.
YungChunLu/Census-Income
Given various features, the aim is to build a predictive model to determine the income level for people in US. The income levels are binned at below 50K and above 50K.
YungChunLu/MLND.Project1
Predicting Boston Housing Prices
YungChunLu/MLND.Project2
Build a Student Intervention System
YungChunLu/MLND.Project3
Leveraged unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.
YungChunLu/MLND.Project5
Facebook V: Predicting Check Ins
YungChunLu/Di_Contest
Di Tech Competition
YungChunLu/MLND.Project4
Leveraged reinforcement techniques to train a smartcab how to drive in an idealized grid-like city, with roads going North-South and East-West.
YungChunLu/Rendering
All assignments from the rendering course taken in NTU, 2013
YungChunLu/UD170
Intro to Data Analysis
YungChunLu/UD953
Udacity - Linear Algebra Refresher Course