ericdnbn

movie_studio_analysis

leetcode_practice_notebooks

google_foobar_scratch_notebooks

housing_price_modeling

image_classifier_pneumonia

predicting_functionality_water_pumps_tanzania

renewable_energy_analysis_and_modeling

ericdnbn

image-classifier-skin-lesions

predicting_sale_price_real_estate_kings_county

dsc-resilient-distributed-datasets-rdd-lab

dsc-introduction-to-neural-networks

dsc-feature-engineering-for-text-data

dsc-collaborative-filtering-singular-value-decomposition

dsc-recommendation-system-introduction

dsc-parallel-and-distributed-computing-with-mapreduce

dsc-big-data-introduction

dsc-curse-of-dimensionality

dsc-classes-and-instances

dsc-distance-metrics

dsc-logistic-regression-in-scikit-learn

dsc-intro-to-supervised-learning-v2-1

dsc-instance-methods

ML-Deployment-Flask-App

This repository demonstrate the steps for setting up a simple ML model and deploy with Flask App that lives on Heroku environment.

phase_4_review_071921

docs

TensorFlow documentation

nlp_code_along

nlp_mobydick_standdown

sql_election_exercise

ds-spark_pdu21