TaiPhillips

aiofiles

File support for asyncio

airbnb_nyc

Using data I've answered 3 questions: i. Can we group airbnb locations based on amenities offered? ii. How price varies across neighborhoods? iii. Does proximity to train-stations affect the price?

aml-london-2019

Course materials for Applied Machine Learning course in 2019 in London

an_advanced_yolov3_for_small_object

ANPR

License Plate detection and recognition on Indian Number Plates

anpr_yolov5

api-to-postgres

Store data from an API into a Postgres table

async-techniques-python-course

Async Techniques and Examples in Python Course

TaiPhillips/airbnb_nyc

Using data I've answered 3 questions: i. Can we group airbnb locations based on amenities offered? ii. How price varies across neighborhoods? iii. Does proximity to train-stations affect the price?

TaiPhillips/Basic-Mathematics-for-Machine-Learning

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

TaiPhillips/beautiful_idiomatic_python

Notes from Raymond Hettinger's talk at PyCon US 2013.

TaiPhillips/Book_List

Python, Machine Learning, Deep Learning and Data Science Books

TaiPhillips/Causal-Inference-for-Data-Scientists

Notebooks of Python and R code which illustrates basic causal inference using simulated data

TaiPhillips/Data-Pipeline-Batch-ETL-with-Airflow

A production-grade data pipeline has been designed to automate the parsing of user search patterns to analyze user engagement. Extract data from S3, apply a series of transformations and load into S3 and Redshift.

TaiPhillips/Data-Pipelines-with-Apache-Airflow

Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3

TaiPhillips/Data-Science--Cheat-Sheet

Cheat Sheets

TaiPhillips/Data-Streaming-Using-Kafka

Built a stream processing data pipeline to get data from disparate systems into a dashboard using Kafka as an intermediary.

TaiPhillips/deduplication-slides

"1 + 1 = 1 or Record Deduplication with Python" Jupyter Notebook

TaiPhillips/DS-Unit-1-Sprint-3-Statistical-Tests-and-Experiments

Notebooks, assignments, and sprint challenge for Data Science Unit 1 Sprint 4

TaiPhillips/DS-Unit-2-Sprint-2-Linear-Regression

TaiPhillips/Elo_portfolio

Eloisa Elias - Data Scientist and Tech Community Organizer, Lean Six Sigma Certified

TaiPhillips/intertext

Detect and visualize text reuse

TaiPhillips/LinearRegression

Programming a linear regression model with Python and Numpy without the use of machine learning libraries

TaiPhillips/machine_learning_examples

A collection of machine learning examples and tutorials.

TaiPhillips/mathematics-for-machine-learning-cousera

quizzes/assignments for mathematics for machine learning specialization on coursera

TaiPhillips/notebooks

:notebook: Various Jupyter notebooks.

TaiPhillips/packt-downloader

Packt Video Downloader Suite

TaiPhillips/PPL_Python_Training

Repository to host code for princeton public library python training

TaiPhillips/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 ;)

TaiPhillips/py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

TaiPhillips/Python-for-Probability-Statistics-and-Machine-Learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

TaiPhillips/python-primer

Short Python primer for devs with experience in another language (such as Java)

TaiPhillips/Python_Vehicle_Parking_System

Python_Vehicle_Parking_System

TaiPhillips/rltk

Record Linkage ToolKit (Find and link entities)

TaiPhillips/rltk-experimentation

Example, test and benchmark for RLTK (v2)

TaiPhillips/sparse_dot_topn

Python package to accelerate the sparse matrix multiplication and top-n similarity selection

TaiPhillips/the-elements-of-statistical-learning

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

TaiPhillips/tutorials