Pinned Repositories
Games
Some simple game code.
Machine-learning
There are three parts in total.First, Use the data to do K‐means clustering implementation.Second,try some methods to predict Kobe Bryant’s shot type and write report.Third,try some methods to predict commentary star and write report.
MyFirstRepos
This is my first repository.
networkie
Introduction to data engineering workflows for undergraduates
Neural-Network
The code of forward propagation , cost function , backpropagation and visualize the hidden layer.
Rank
Use numpy and pandas to analysis and visualize the data.
Recommender-Systems
There are three parts in total.First, use cosine (cos) and pearson correlation coefficient (pcc) as two different similarity metrics to compute the similarity.Second, use matrix factorization (MF) to predict user‐movie ratings.
chiapeilin's Repositories
chiapeilin/Neural-Network
The code of forward propagation , cost function , backpropagation and visualize the hidden layer.
chiapeilin/Recommender-Systems
There are three parts in total.First, use cosine (cos) and pearson correlation coefficient (pcc) as two different similarity metrics to compute the similarity.Second, use matrix factorization (MF) to predict user‐movie ratings.
chiapeilin/Games
Some simple game code.
chiapeilin/Machine-learning
There are three parts in total.First, Use the data to do K‐means clustering implementation.Second,try some methods to predict Kobe Bryant’s shot type and write report.Third,try some methods to predict commentary star and write report.
chiapeilin/MyFirstRepos
This is my first repository.
chiapeilin/networkie
Introduction to data engineering workflows for undergraduates
chiapeilin/Rank
Use numpy and pandas to analysis and visualize the data.