gravatar

myvioletrose

Jim Ng

Recently Published

data 698: final project
Can machine learning model trained on a variety of traditional technical indicators be used to reliably outperform the market? Can machine learning model reliably outperform the traditional technical analysis?
data 605: final
Page Rank Algorithm, MNIST, Regression
data 605: hw 15
data 605: Taylor Series
data 605: calculus
data 605: discussion 13
calculating related rates by implicit differentiation
data 605: discussion 12
data 605: discussion 11
data 605: linear regression
data 605: Markov Chain
Markov Chain, random walk
data 605: Moment Generating Function
stock price mu = 0, var = 1/4 discrete distribution: binomial continuous distribution: exponential
data 605: HW7 model machine lifetime failure after 8 years in use
Geometric, exponential, binomial, poisson distributions
data 605: HW6 Combination, Permutation
Combination, Permutation
data 605: HW5 Probability
data 605: HW1 image processing JN
One of the most useful applications for linear algebra in data science is image manipulation. We often need to compress, expand, warp, skew, etc. images. To do so, we left multiply a transformation matrix by each of the point vectors. For this assignment, build the first letters for both your first and last name using point plots in R.
k-means clustering, PCA, and SVM on mental health questionnaire
k-means clustering, PCA, and SVM
data_624_group_3_project_2
data_624_group_3_project_1
data_624_group_3_hw_1
stock_prediction
data_621_hw_5
data_621_blog_4
ML Ensembling
data_621_blog_3
data_621_hw_4
Survival Model
logistic_regression_tutorial
Data 621 - Moneyball (hw1)
Job Recommendation
tidyverse_recipe_case_when
New_York_Times_API_Exercises
Data_607_Assignment_7
Week_5_assignment_JimmyNg
Document
traveler-intro_to_r_JimmyNg
plotly test
FA Study - Text Mining