A predictive model for Order Cancellation among customers to try to predict suspicious bookings in the hotel industry
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Updated
May 20, 2017 - Jupyter Notebook
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
A predictive model for Order Cancellation among customers to try to predict suspicious bookings in the hotel industry
The project aims to perform various data cleaning strategies to handle data quality problems like handling missing values, standardizing attribute values, correcting typos.
Natural Language Processing with Python
Report on World Happiness Data (Data Analysis and Visualisation of the data)
This project explores the evolution of the Linux kernel by finding top 10 contributors and visualization of commits over the years.
For submitting project assignments
This project is performed on 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in the data. The project tries to find out the factors that predicts if a patient will show up for their scheduled appointment
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This project is on a data set from Prosper, which is America’s first marketplace lending platform, with over $7 billion in funded loans. This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, borrower employment status, borrower credit hi…
Data analysis reviewing data and findings on the public school kindergarten lottery in San Francisco
Interactive Machine Learning Examples
Sample of Python codes from mathematical problems
Basic data wrangling using pandas
House Prices: Análisis exploratorio de datos con Python
IPython Notebook showing pytorch implementation of Google DeepMind paper on Relation Network
Implementing FaceNet for facial recognition using pre-trained weights.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 15 days ago