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analyzing-graduate-students-data-with-pandas

The data set is downloaded by CDE (California Department of Education).

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

boston_housing

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

capstone

Create a model that takes the occupation name, job title, position type and salary as an input and give the chance of acceptance as output.

catvsdogs

This repo is a about cat and dogs popularity in the USA.

customer_segments

Unsupervised learning example

dog-project

Create a model that detects humans and dogs from a given image using Convolutional Neural Networks (CNN)

evs

Retrieve, clean and manipulate the data using pandas from Canada Government website. Utilize matplotlib's visualization capabilities to create five-thirty-eight style info-graphics.

finding_donors

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

first_cnn

This is the first Convolutional Neural Network notebooks.

first_keras_study

The first time using Keras

fremontbridge

An exercise notebook from Jake Vanderplas

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

learndatascience

Open Content for self-directed learning in data science

missingdata

This repo is all about missing data and how to handle it.

mybabysname

This repo has been created before my daughter was born to find out her name's popularity in the US.

numpytutorial

This repo introduces the NumPy package and shows how to use some of the most common features, functions, and attributes of it.

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 ;)

pythondatasciencehandbooknotes

In this repo, I keep the notes that I take from Python Data Science Handbook by Jake Vanderplas

smart_taxi

Train a smartcab how to drive using Reinforcement Learning

start-here

stepbysteppandas

A gentle introduction to Pandas

tensorflow

Computation using data flow graphs for scalable machine learning

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

titanic_survival_exploration

First project of Udacity Machine Learning Engineering Nanodegree

udacity_mlnd_notes

This repo consist of my personal that I took during Machine Learning Engineering Nanodegree Program.