thtang / Business-Analytics-Using-Statistical-Modeling
BASM - 2017 Spring
☆25Updated 6 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
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- ☆19Updated 4 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 5 years ago
- Interactive visualization of machine learning model evaluation metrics☆63Updated 5 years ago
- Symbolic computation using SymPy and various applications☆21Updated 6 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Pandas integration with sklearn☆21Updated 8 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 4 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- ☆26Updated 5 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Python notebooks for demonstrating various ideas, APIs, libraries.☆32Updated 7 years ago
- Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II☆42Updated 6 years ago
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 5 years ago
- ☆9Updated 8 years ago
- ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-KerasWhat makes convnets so powerful at image classification?☆46Updated 7 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 6 years ago
- The website for the machine learning flashcards project.☆37Updated 5 months ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- ☆15Updated 6 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 5 months ago
- Start your journey into social media analysis of politicans by using Python (Tutorial)☆21Updated 6 years ago
- Python utilities for Machine Learning competitions☆32Updated 7 years ago
- ☆18Updated 4 years ago