RobColeman / data_science_and_engineering_ipython_notebooks
a collection of examples including, but not limited to, algorithms, general programming, library use, machine learning, data mining, and data visualization
☆8Updated 6 years ago
Alternatives and similar repositories for data_science_and_engineering_ipython_notebooks:
Users that are interested in data_science_and_engineering_ipython_notebooks are comparing it to the libraries listed below
- Tutorials on session-based recommender systems☆11Updated 7 years ago
- RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ☆24Updated 11 years ago
- ☆19Updated 8 years ago
- Python notebooks for demonstrating various ideas, APIs, libraries.☆32Updated 7 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- Cognitive Computing Final Project☆7Updated 6 years ago
- Random Forest Learner to predict stock prices☆13Updated 11 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- Code for the Kaggle Marinexplore challenge☆17Updated 11 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- Data Science and Machine Learning with Python - Hands On from Udemy☆14Updated 7 years ago
- Feature selection algorithms for learning to rank☆9Updated 11 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- ☆25Updated 9 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 10 years ago
- ☆16Updated 7 years ago
- 4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)☆28Updated 10 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Updated 5 years ago
- ☆25Updated 8 years ago
- Pandas' group-by/apply with multiprocessing☆24Updated 8 years ago
- About uplift modeling☆30Updated 8 years ago
- Scikit-learn quickstart tutorial for Webstep☆18Updated 7 years ago
- Data mining algorithms with Python☆10Updated 5 years ago
- ☆26Updated last year
- A Latent Dirichlet Allocation topic modeling package based on SparseLDA Gibbs Sampling inference algorithm☆8Updated 11 years ago
- Taxi fare prediction using tensorflow probability☆15Updated 5 years ago
- TF-Tile: an efficient sparse representation for real-valued data☆13Updated 2 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- Classifying economics articles using Latent Dirichlet Allocation☆8Updated 8 years ago
- Bosch Kaggle competion: Reduce manufacturing failures (https://www.kaggle.com/c/bosch-production-line-performance)☆24Updated 8 years ago