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Google Cloud Platform Certification resources.
A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng = Bag-of-Words, Tfdvectorizer)
giginghn / poetry
Forked from python-poetry/poetryPython dependency management and packaging made easy.
A repository with various methods for clustering mixed datasets in python
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Decentralized Privacy-Preserving Proximity Tracing -- Documents
R code used to evaluate the OHDSI Methods Library for population-level estimation
Built a fragrance recommender using multiple machine learning algorithms to help people find their perfect match. The final deliverable was a webapp.
Python library that makes it easy for data scientists to create charts.
Quick Implementation in python
Answers to 120 commonly asked data science interview questions.
Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.
My solution to the book A Collection of Data Science Take-Home Challenges
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
My answers to the assessments available on http:https://sqlzoo.net/
An R package of color palettes inspired by stills from the 2016 film "La La Land"
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…