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nc-2019's Projects

ai icon ai

Course projects of CS534 - Artificial Intelligence

cdss_applied_ml_2019 icon cdss_applied_ml_2019

This repository contains material for the Columbia Data Science Society's Applied Machine Learning workshop held on 02/28/2019.

data-engineer-nano-degree icon data-engineer-nano-degree

Data models, build data warehouses and data lakes, automate data pipelines, and worked with massive datasets.

data-science-ipython-notebooks icon 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.

datavis_design icon datavis_design

Resources and tutorials associated with the Data Visualization & Design course at Columbia University.

decisiontrees icon decisiontrees

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

elite-ml icon elite-ml

My learning files from EliteDataScience: Machine Learning Masterclass

flatironschool_datascience icon flatironschool_datascience

repo for all things related to my work teaching data science at the Flatiron School for the 021119 cohort, full-time and part-time

ml-mastery icon ml-mastery

Code from Jason Brownlee's course on mastering machine learning

pandas-cleanup icon pandas-cleanup

Data cleaning exercise from Data + Desserts talk at the Flatiron School.

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