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adv-ml-wk01-nlp-codealongs

Code-along materials for the first week of Advanced Machine Learning: NLP

adv-ml-wk02-deep-nlp-codealongs

amazon-product-reviews---sentiment-analysis

american_clg_uni_undergrad_program

ames_housing

anime-recommendation

anomaly-detection-crm

cifar10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

cnn

color-classification-cnn

color recognition (convolutional neural network implemented in Keras)

data-enrichment-linear-regression-with-movies

data-enrichment-wk13-l01-activity

data-enrichment-wk14-activity-mapping-yelp-api-results

data-enrichment-wk15-lect01-codealong

data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

data-structures

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

deep-learning

demo

disease-prediction

docker-for-data-science-tutorial

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

docker-python

Kaggle Python docker image

emotions

hands-on-ml2-dl-book

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.

image-search-engine

End-to-end image search engine based on the Deep learning techniques.

local-work-flow

machine-learning

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

ml

Machine Learning

mock_etl_23