Internet without borders
#计算机科学#Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
Repository containing code for analysis of Raman and IR spectra datasets
Python code to identify and calculate decomposition of materials using Raman spectroscopy
#计算机科学#My machine learning projects about regression, classification and clustering
CSE341: Homework and Study Note for Programming Languages on Coursera
#计算机科学#Notebook for quick search
#计算机科学#My Assignments of Coursera Machine Learning Specialization using Scikit-Learn, Pandas, Numpy and Scipy
A discrete event disaster recovery simulation built on top of the Simpy discrete event simulation Python library.
Web App with geospatial schedule visualization, recursive prerequisite tree generation and keyword search for courses offered at the University of Washington (UW).
#计算机科学#4-course machine learning specialization by University Of Washington on Coursera
#计算机科学#🗃Course 1: Case study method course on ML by University of Washington
#计算机科学#This repo is for ML Specialization through UW on Coursera
Python API for University of Washington (UW) Course Catalog and Time Schedule Parsing/Data Extraction and Scraping.
#计算机科学#Built prediction and retrieval models for document retrieval, image retrieval, house price prediction, song recommendation, and analyzed sentiments using machine learning algorithms in Python
Guideline and useful things related to Android Development (for the INFO 448 course)
#计算机科学#Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent ...