AksanBA

ExcelProcessing

Project to return per game NBA player statistics using pandas, openypyxl and flask.

500lines

500 Lines or Less

AksanBA

API_Projects

bracketeer

Generate predicted bracket from a kaggle march madness submission

Cell_Nuclei_Recognition

2018 Data Science Bowl Competition on Kaggle

CS224N_NLP_Deep_Learning

Machine_Learning_Methods

Personal reference for quick explanations on machine learning methods and concepts

March_Madness

March Madness Bracket Prediction

March_Madness_Women

March Madness Bracket Prediction

Chu_Classifier

course-v3

The 3rd edition of course.fast.ai

data

Data and code behind the stories and interactives at FiveThirtyEight

DS_Learning

Notebooks and code for learning data science

Fast_AI_Notebooks

fastai-v3

Starter app for fastai v3 model deployment on Render

fastblog

flask_api

Creating a Machine Learning API using Flask - Repository for AV Article

gitignore

A collection of useful .gitignore templates

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

Home_Credit_Kaggle

KaggleData

Notebooks and code for data science competitions on Kaggle

March-Madness-ML

Machine learned bracketology

nba_py

Python client for NBA statistics located at stats.nba.com

NLP_Tasks

notes_on_data_science_machine_learning_and_artificial_intelligence

A site and book project on using data science techniques for political and social phenomena.

strftime.org

A single-serving-site that provides a reference for Python's strftime formatting options

ThinkBayes

Code repository for Think Bayes.

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition