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als-recommender-system-pyspark-lab-online-ds-sp-000

amazon-sagemaker-keras-text-classification

A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker

applying-gradient-descent-data-science-intro-000

applying-gradient-descent-lab-data-science-intro-000

applying-nearest-neighbors-data-science-intro-000

atlaseuropa

A project on using deep learning to map land cover and land use in Europe. Topic: Convolutional Neural Networks applied to Sentinel-2 images for multi-class classification, trained to track Land cover - Land use over 34 European coutnries.

automl

Google Brain AutoML

awesome-earthobservation-code

A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

calculating-distance-data-science-intro-000

calculating-distance-lab-data-science-intro-000

calculating-lines-data-science-intro-000

calculus-derivation-gradient-descent-data-science-intro-000

can-deep-learning-save-the-amazon-rainforest

Our solution to Planet's kaggle challenge to track human footprint in Amazon rainforest using deep learning.

census_data_extraction

conditionals-python-lab-data-science-intro-000

conditionals-python-readme-data-science-intro-000

coral

Telco customer churn analysis and prediction

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

deepamazon

How deep learning and satellite images can help tracking and planning a sustainable strategy for a region. Topic: Convolutional Neural Networks applied to Remote Sensing images for multi-label scene classification.

deepnetsforeo

Deep networks for Earth Observation

derivative-chain-rule-data-science-intro-000

derivative-rules-data-science-intro-000

derivative-rules-ds-apply-000

dl-for-satellite-image-analysis

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

dsc-accessing-data-with-pandas-lab-onl01-dtsc-ft-030220

dsc-analyzing-macbeth-project-v2-1-onl01-dtsc-ft-030220

dsc-bernoulli-and-binomial-distribution-lab-onl01-dtsc-ft-030220

dsc-bernoulli-and-binomial-distribution-onl01-dtsc-ft-030220

dsc-building-a-cnn-from-scratch-online-ds-sp-000

dsc-building-an-object-oriented-simulation-lab-online-ds-sp-000