YungChunLu/MLND.Project5 YungChunLu/MLND.Project5

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created over 8 years ago
  • Updated over 8 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
YungChunLu/MLND.Project5
github

YungChunLu

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Facebook V: Predicting Check Ins

More Repositories

1

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.
Jupyter Notebook
13
star
2

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.
Jupyter Notebook
12
star
3

UD953

Udacity - Linear Algebra Refresher Course
Python
3
star
4

Rendering

All assignments from the rendering course taken in NTU, 2013
C++
3
star
5

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.
Python
2
star
6

MLND.Project1

Predicting Boston Housing Prices
Jupyter Notebook
2
star
7

Notes-of-Elements-of-Programming-Interviews

1
star
8

MLND.Project2

Build a Student Intervention System
Jupyter Notebook
1
star
9

PyCon2022-Micron

Continuous High Volume of Data Exporting From BigQuery
Python
1
star
10

DS_Interview_Question

Python
1
star
11

Udacity859

JavaScript
1
star
12

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.
Jupyter Notebook
1
star
13

MLND.Project3

Leveraged unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.
HTML
1
star
14

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.
Jupyter Notebook
1
star
15

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.
Jupyter Notebook
1
star