jakeoddi

A-B_Testing

als-recommender-system-pyspark-lab

apple_google_twitter_sentiment_NLP

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

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

Bankruptcy_Prediction

cachesim

calculating-distance-data-science-intro-000

gptutor

Stock-Price-Forecasting

jakeoddi/A-B_Testing

jakeoddi/apple_google_twitter_sentiment_NLP

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

jakeoddi/Bankruptcy_Prediction

jakeoddi/cachesim

jakeoddi/gptutor

jakeoddi/Stock-Price-Forecasting

jakeoddi/Text2Object-AR

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

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

jakeoddi/dsc-data-science-env-config

jakeoddi/dsc-deeper-neural-networks-lab

jakeoddi/dsc-image-classification-with-mlps-lab

jakeoddi/dsc-introduction-to-keras-lab

jakeoddi/dsc-matrix-factorization-als

jakeoddi/dsc-phase-1-project-campus

DS Phase 1 Project - Campus

jakeoddi/dsc-tuning-neural-networks-with-regularization-lab-v2-1

jakeoddi/dsc-using-pretrained-networks-codealong

jakeoddi/gradient-to-cost-function-data-science-intro-000

jakeoddi/jake_demo_repo_1

jakeoddi/kc_housing

jakeoddi/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

jakeoddi/nyc-091420-week2

jakeoddi/nyc-mhtn-ds-091420-lectures

jakeoddi/Optiver_RTG_Workshop

Learn to build an autotrader with Optiver's Ready Trader Go Simulator

jakeoddi/partial-derivatives-lab-data-science-intro-000

jakeoddi/PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

jakeoddi/QuantLib

The QuantLib C++ library

jakeoddi/syndata-generation

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

jakeoddi/warmup-pokemon-dictionary