thtang / Business-Analytics-Using-Statistical-ModelingLinks
BASM - 2017 Spring
☆26Updated 7 years ago
Alternatives and similar repositories for Business-Analytics-Using-Statistical-Modeling
Users that are interested in Business-Analytics-Using-Statistical-Modeling are comparing it to the libraries listed below
Sorting:
- Work for Mastering Large Datasets with Python☆20Updated 3 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Updated 4 years ago
- Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II☆43Updated 7 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Source code for 'Practical Python AI Projects' by Serge Kruk☆102Updated 5 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Updated 6 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 3 years ago
- Pandas integration with sklearn☆21Updated 8 years ago
- ☆14Updated 6 years ago
- Introduction to TensorFlow. Basic operators, linear and logistic regression and Tensorboard☆22Updated 8 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆38Updated last year
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Start your journey into social media analysis of politicans by using Python (Tutorial)☆21Updated 6 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆64Updated 2 years ago
- Source code for ' Data Science Fundamentals for Python and MongoDB' by David Paper☆32Updated 7 years ago
- ☆24Updated 2 years ago
- ☆19Updated 4 years ago
- Data mining algorithms with Python☆10Updated 6 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆35Updated 8 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆115Updated 8 years ago
- basic pandas tutorials☆52Updated 8 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 4 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.☆78Updated 7 years ago