Pinned Repositories
120-Data-Science-Interview-Questions
churn_prediction
Predict customer churn rate for a ride-sharing company by multiple classification algorithms
Coursera-Machine-Learning
Coursera Machine Learning - Python code
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
flask
flask intro class notes
fraud_detection
Built multiple classification models and developed a webapp from scratch for real-time fraud prediction
knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
ml-class-assignments
Machine learning by Andrew Ng course assignments
predict_twitter_user_age
Predict twitter user age based on user profile and tweets they've posted.
scentmate_rec
Built a fragrance recommender using multiple machine learning algorithms to help people find their perfect match. The final deliverable was a webapp.
kellypeng's Repositories
kellypeng/scentmate_rec
Built a fragrance recommender using multiple machine learning algorithms to help people find their perfect match. The final deliverable was a webapp.
kellypeng/120-Data-Science-Interview-Questions
kellypeng/predict_twitter_user_age
Predict twitter user age based on user profile and tweets they've posted.
kellypeng/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
kellypeng/knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
kellypeng/Coursera-Machine-Learning
Coursera Machine Learning - Python code
kellypeng/churn_prediction
Predict customer churn rate for a ride-sharing company by multiple classification algorithms
kellypeng/flask
flask intro class notes
kellypeng/fraud_detection
Built multiple classification models and developed a webapp from scratch for real-time fraud prediction
kellypeng/ml-class-assignments
Machine learning by Andrew Ng course assignments
kellypeng/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
kellypeng/udacity
kellypeng/zsxq
:books: 知识星球精华整理