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airbnb-project

appliedaicourse

This repo has all the code files which were created as part of the assignments to complete the Applied AI Course. The credit for code source structure and data goes to the Applied AI team.

appliedaicoursenote

autoarima-time-series-blog

This is the code notebook for the blog post on using Python and Auto ARIMA

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-r

A curated list of awesome R packages, frameworks and software.

case-study-appliedai-ml_course

customer-segmentation-in-retail-store

Clustering and customer segmentation of Retail Store.

dplyr

Dplyr: A grammar of data manipulation

global_super_store_segmentation

grocery-store-segmentation

Clustering and segmentation

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

kaggle---srk

Codes for Kaggle Competitions

kaggle-house-prices-advanced-regression-techniques

Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques

kaggle_mercedes

The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle

kagglezerotoall

Kaggle problem solving

marketing-clustering-customer-segmentation

This project goal is to apply kmeans clustering method to conduct customer, product, and store segmentation and have some basic understanding of customers, products and stores, and being able to use segmentation insights to power personalized promotions. The dataset include transaction data in a 2-year period and product category table.

ml-for-hackers-r-

Code accompanying the book "Machine Learning for Hackers"

ml-resources

A complete daily plan for studying to become a machine learning engineer.

ml-resources-part-ii-

common data analysis and machine learning tasks using python

multi-touch-attribution

pandas_exercises

Practice your pandas skills!

pyspark

python-feature-engineering-cookbook

Python Feature Engineering Cookbook, published by Packt

python-for-data-analysis-by-wes-mckinney

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-machine-learning-book-raschka-sebastian

The "Python Machine Learning (1st edition)" book code repository and info resource

r-data-science-tutorials

a curated list of R tutorials for Data Science, NLP and Machine Learning

sas-

All things SAS related (programs, macros, presentations, etc)

segmentation-and-clustering

Clustering 85 grocery stores to aid grocery store supply chain.