Experimental Exploratory Data Analysis for a Classification Task
Expand the traditional EDA in a wider pipeline looking for the impact of each action into the behaviour of models. Exploratory Data & Models Analysis
exploratory-data-analysis classification machine-learning logistic-regression
Label Studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format.
annotation natural-language-processing computer-vision library
Full Stack Deep Learning
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.
production full-stack deep-learning course
Core Machine Learning Implementations
This repo contains mathematical derivations and python implementations in numpy for key machine learning algorithms
linear-regression logistic-regression neural-networks k-nearest-neighbors
PyTorch Transformers Tutorials
A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks such as classification, NER etc.
transformers text-classification text-summarization named-entity-recognition
ML in Production - Deployment Series
A multi-part blog series on deploying machine learning models in an automated, reproducible, and auditable manner.
production guide article tutorial
Machine Learning Crash Course
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
machine-learning tensorflow course tutorial
Lda2vec: Tools for interpreting natural language
The lda2vec model tries to mix the best parts of word2vec and LDA into a single framework.
topic-modeling latent-dirichlet-allocation word2vec embeddings
Data Project Checklist
There’s a lot more to creating useful data projects than just training an accurate model!
product-management databases training checklist
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