icharleschen/DSCI-552
DSCI 552: Machine Learning for Data Science
This collection of practical machine learning applications helps data science students and practitioners apply core techniques to real-world problems. It takes various datasets like vertebral column measurements or power plant data as input and produces insights for tasks like classification, regression, and time series analysis. This is ideal for those learning or practicing data science, machine learning, and data analytics.
No commits in the last 6 months.
Use this if you are a student or professional in data science, analytics, or related technical fields looking for hands-on examples of machine learning algorithms applied to diverse datasets.
Not ideal if you are looking for a plug-and-play software solution for a specific business problem, rather than educational examples for learning or developing machine learning skills.
Stars
8
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/icharleschen/DSCI-552"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
girafe-ai/ml-course
Open Machine Learning course
Yorko/mlcourse.ai
Open Machine Learning Course
andriygav/MachineLearningSeminars
Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.
MITDeepLearning/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
dssg/mlforpublicpolicylab
Repo for ML for Public Policy Lab course at CMU