mGalarnyk/DSE220_Machine_Learning
Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.
Jupyter Notebook
Stargazers
- akansal1
- bcolbert-ucsd
- Bhargavi2288
- boost2017
- claytonblytheAmazon
- daliendeGE Renewables
- EivindArvesenNorway
- erselManchester, UK
- GeorgeMcIntireBerkeley
- godfredO
- GuoShi28China
- headevenil
- hrguptaUnited States
- Hunteram
- jeffreywugzstartup, Co-founder and CTO
- JeremyIRLos Angeles, CA
- khiladikkEasyproteinguide
- mas-dse-mgalarny
- mawelchUSA
- mehdi-elke
- ntj28
- prateeknepaliya09Merkle
- reddyreddys255
- rocksailorEnrichAI
- snazrul1
- tanken
- techperfect
- thebennosFuxx Group
- veekasNew York, NY
- vikibytes@Newsrecommender
- wangqiaowen
- Wiitala
- xing-long
- xxyu
- ychaga
- youndoldman