It contains Python Projects which are available on DataCamp in project section DataCamp
Analyze the network of characters in Game of Thrones and how it changes over the course of the books
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
In this project we will explore a database of every LEGO set ever built.
You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.
Plot Google Trends data to find the most famous Kardashian/Jenner sister. Is it Kim? Kendall? Kylie?
Load, clean, and visualize scraped Google Play Store data to understand the Android app market.
Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
Play bank data scientist and use regression discontinuity to see which debts are worth collecting.
Build a binary classifier to predict if a blood donor is likely to donate again.
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Build a deep learning model that can automatically detect honey bees and bumble bees in images.
Build a convolutional neural network to classify images of letters from American Sign Language.
How can we find a good strategy for reducing traffic-related deaths?
Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.
Find the true Scala experts by exploring its development history in Git and GitHub.
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Flex your pandas muscles on breath alcohol test data from Ames, Iowa, USA.
Build a model that can automatically detect honey bees and bumble bees in images.
Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines.
Build a machine learning model to predict if a credit card application will get approved.
Rock or rap? Apply machine learning methods in Python to classify songs into genres.
Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.
Automatically generate keywords for a search engine marketing campaign using Python.
Analyze the gender distribution of children's book writers and use sound to match names to gender.
Use web scraping and NLP to find the most frequent words in Herman Melville's novel, Moby Dick.
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Find out about the development of the Linux operating system by exploring its Git repository history.
Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.
Load, transform, and understand images of honey bees and bumble bees in Python.
Explore Disney movie data, then build a linear regression model to predict box office success.
Build a book recommendation system using NLP and the text of books like "On the Origin of Species.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
This project is licensed under the MIT License - see the LICENSE file for details
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent