Pinned Repositories
arcgis-python-api
Documentation and samples for ArcGIS API for Python
Fire-Risk-NYC
Capstone project for General Assembly's Data Science Immersive
folium-FireMap
NLP_Reddit
NLP Project using posts from Reddit
Power_Outage_Identification
Group project for Data Science Immersive on the use of NLP on social media data to identify power outages. Collaborated with Vonn Johnson and Jennifer Hill. Primary contributions include code for scraping twitter, accessing APIs, NLP models, and visualizing results.
raster-masker
resources
PyMC3 educational resources
NoahChristiansen's Repositories
NoahChristiansen/arcgis-python-api
Documentation and samples for ArcGIS API for Python
NoahChristiansen/Teaching_Advanced_SQL
Teaching notes from my Advanced SQL workshops as local lead instructor at General Assembly New York. The first edition was created for the Data Science Immersive during 05/13/2019 - 05/15/2019
NoahChristiansen/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
NoahChristiansen/Machine-Learning-by-Andrew-Ng-Implementation-in-Python
To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.
NoahChristiansen/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
NoahChristiansen/baltimore-shootings-analysis
Analysis of Baltimore Shootings — The Trace and BuzzFeed News
NoahChristiansen/nycdb
Database of NYC Housing Data
NoahChristiansen/pytudes
Python programs to practice or demonstrate skills.
NoahChristiansen/pokemongo-game-master
Collection of decoded GAME_MASTER-protobuf files
NoahChristiansen/opp
Open Policing Project
NoahChristiansen/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
NoahChristiansen/datascience
Curated list of Python resources for data science.
NoahChristiansen/awesome-python-data-science-1
A curated list of Python libraries used for data science.
NoahChristiansen/Learning-Geospatial-Analysis-with-Python-Third-Edition
Learning Geospatial Analysis with Python – Third Edition, published by Packt
NoahChristiansen/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
NoahChristiansen/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
NoahChristiansen/First-steps-towards-Deep-Learning
This is an open sourced book on deep learning.
NoahChristiansen/awesome-python-data-science
Probably the best curated list of Data science software in Python.
NoahChristiansen/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
NoahChristiansen/mexican-government-report
Text Mining on the 2019 Mexican Government Report.
NoahChristiansen/DS-Cookbook101
A jupyter notebook having all most frequent used code snippet for daily data scienceoperations
NoahChristiansen/course-nlp
A Code-First Introduction to NLP course
NoahChristiansen/osmnx-examples
Examples, demos, and tutorials demonstrating the usage of OSMnx
NoahChristiansen/Generative-Art
A hub for all of my generative art projects
NoahChristiansen/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
NoahChristiansen/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
NoahChristiansen/visualization-curriculum
A data visualization curriculum of interactive notebooks.
NoahChristiansen/3w_dataset
The first realistic and public dataset with rare undesirable real events in oil wells.
NoahChristiansen/cnn-school-shooting-data
NoahChristiansen/group-lasso
Group Lasso implementation loosely following the scikit-learn API