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DataCamp
DataCamp is an online learning platfrom with interactive courses, practices, and projects. Not only R but Python is appied in different projects, and those mini-projects could help you hone your coding skill and the machine learning knowledge! You can also find some useful cheatsheet here in case of forgetting some functions or arguments.
Leave a :star: if helpful! :wink:
R project
| Project Name | Description | Note |
|---|---|---|
A Text Analysis of Trump's Tweets |
Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half | |
A Visual History of Nobel Prize Winners |
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed? | |
Are You Ready for the Zombie Apocalypse? |
Use your logistic regression skills to protect people from becoming zombies! | |
Bad passwords and the NIST guidelines |
Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines. | |
Classify Suspected Infection in Patients |
Classify patients with suspected infections using data.table and electronic health records. | data.table |
Clustering Bustabit Gambling Behavior |
Use cluster analysis to glean insights into cryptocurrency gambling behavior. | |
Clustering Heart Disease Patient Data |
Experiment with clustering algorithms to help doctors inform treatment for heart disease patients. | |
Data Science for Social Good/ Crime Study |
Use data science to catch criminals, plus find new ways to volunteer personal time for social good. | ggmap |
Degrees That Pay You Back |
Explore the salary potential of college majors with a k-means cluster analysis. | KMeans |
Dr. Semmelweis and the Discovery of Handwashing |
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing. | |
Draw flowers using mathematics |
Use R to make art and create imaginary flowers inspired by nature. | |
Drunken Datetimes in Ames, Iowa |
Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa. | |
Explore 538's Halloween Candy Rankings |
Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy! | |
Exploring the Kaggle Data Science Survey |
Discover the top tools Kaggle participants use for data science and machine learning. | |
Functions for Food Price Forecasts |
Write functions to forecast time series of food prices in Rwanda. | |
Gender Bias in Graduate Admissions |
Analyze admissions data from UC Berkeley and find out if the university was biased against women. | Simpson's paradox |
Going Down to South Park: A Text Analysis |
Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language. | |
Importing and Cleaning Data |
Apply your importing and data cleaning skills to real-world soccer data. | |
Health Survey Data Analysis of BMI |
Analyze health survey data to determine how BMI is associated with physical activity and smoking. | |
Kidney Stones and Simpson's Paradox |
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal. | |
Level Difficulty in Candy Crush Saga |
Analyze data from the hit mobile game, Candy Crush Saga. | |
Modeling the Volatility of US Bond Yields |
Discover how the US bond yields behave using descriptive statistics and advanced modeling. | |
Partnering to Protect You from Peril |
Examine the network of connections among local health departments in the United States. | Network analysis |
Planning Public Policy in Argentina |
Apply unsupervised learning techniques to help plan an education program in Argentina. | |
Predict Taxi Fares with Random Forests |
Use regression trees and random forests to find places where New York taxi drivers earn the most. | |
Reducing Traffic Mortality in the USA |
How can we find a good strategy for reducing traffic-related deaths? | |
Rise and Fall of Programming Languages |
Analyze the relative popularity of programming languages over time based on Stack Overflow data. | |
Scout Your Athletics Fantasy Team |
Analyze athletics data to find new ways to scout and assess jumpers and throwers. | |
Text Mining America's Toughest Game Show |
Use text mining to analyze Jeopardy! data. | |
The Impact of Climate Change on Birds |
Predict the impact of climate change on bird distributions using spatial data and machine learning. | |
Trends in Maryland Crime Rates |
Apply hierarchical and mixed-effect models to analyze Maryland crime rates. | GLMM |
TV, Halftime Shows, and the Big Game |
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows. | |
Visualizing Inequalities in Life Expectancy |
Compare life expectancy across countries and genders with ggplot2. | |
What Makes a Pokémon Legendary? |
Use tree-based machine learning methods to identify the characteristics of legendary Pokémon. | |
What Your Heart Rate Is Telling You |
Examine the relationship between heart rate and heart disease using multiple logistic regression. | |
Where Are the Fishes? |
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Where Would You Open a Chipotle? |
Create and explore interactive maps using Leaflet to determine where to open the next Chipotle. | |
Who Is Drunk and When in Ames, Iowa? |
Flex your tidyverse muscles on breath alcohol test data from Ames, Iowa, USA. | |
Wrangling and Visualizing Musical Data |
Wrangle and visualize musical data to find common chords and compare the styles of different artists. |
Python project
| Project Name | Description | Note |
|---|---|---|
A Network Analysis of Game of Thrones |
Analyze the network of characters in Game of Thrones and how it changes over the course of the books. | |
A New Era of Data Analysis in Baseball |
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton. | |
A Visual History of Nobel Prize Winners |
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed? | |
Analyze Your Runkeeper Fitness Data |
Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app. | |
ASL Recognition with Deep Learning |
Build a convolutional neural network to classify images of letters from American Sign Language. | Keras |
Bad passwords and the NIST guidelines |
Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines. | |
Book Recommendations from Charles Darwin |
Build a book recommendation system using NLP and the text of books like "On the Origin of Species." | |
Classify Song Genres from Audio Data |
Rock or rap? Apply machine learning methods in Python to classify songs into genres. | |
Comparing Cosmetics by Ingredients |
Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh. | t-SNE, Boken |
Disney Movies and Box Office Success |
Explore Disney movie data, then build a linear regression model to predict box office success. | |
Do Left-handed People Really Die Young? |
Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties. | |
Dr. Semmelweis and the Discovery of Handwashing |
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing. | |
Exploring 67 years of LEGO |
In this project we will explore a database of every LEGO set ever built. | |
Exploring the Bitcoin Cryptocurrency Market |
You will explore the market capitalization of Bitcoin and other cryptocurrencies. | |
Exploring the Evolution of Linux |
Find out about the evolution of the Linux operating system by exploring its version control system. | |
Find Movie Similarity from Plot Summaries |
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity. | |
Generating Keywords for Google Ads |
Automatically generate keywords for a search engine marketing campaign using Python. | |
Give Life: Predict Blood Donations |
Build a binary classifier to predict if a blood donor is likely to donate again. | |
Mobile Games A/B Testing with Cookie Cats |
Analyze an A/B test from the popular mobile puzzle game, Cookie Cats. | |
Naïve Bees: Deep Learning with Images |
Build a deep learning model that can automatically detect honey bees and bumble bees in images. | Keras |
Naïve Bees: Image Loading and Processing |
Load, transform, and understand images of honey bees and bumble bees in Python. | |
Naïve Bees: Predict Species from Images |
Build a model that can automatically detect honey bees and bumble bees in images. | |
Name Game: Gender Prediction using Sound |
Analyze the gender distribution of children's book writers and use sound to match names to gender. | |
Predict Stock Trends from News Headlines |
Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight. | BeautifulSoup |
Predicting Credit Card Approvals |
Build a machine learning model to predict if a credit card application will get approved. | |
Real-time Insights from Social Media Data |
Learn to analyze Twitter data and do a deep dive into a hot trend. | |
Recreating John Snow's Ghost Map |
Recreate John Snow's famous map of the 1854 cholera outbreak in London. | |
Reducing Traffic Mortality in the USA |
How can we find a good strategy for reducing traffic-related deaths? | Seaborn |
Risk and Returns: The Sharpe Ratio |
Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio. | |
The Android App Market on Google Play |
Load, clean, and visualize scraped Google Play Store data to understand the Android app market. | |
The GitHub History of the Scala Language |
Find the true Scala experts by exploring its development history in Git and GitHub. | |
The Hottest Topics in Machine Learning |
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research. | LDA |
TV, Halftime Shows, and the Big Game |
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows. | |
Up and Down With the Kardashians |
Plot Google Trends data to find the most famous Kardashian/Jenner sister. Is it Kim? Kendall? Kylie? | |
Which Debts Are Worth the Bank's Effort? |
Play bank data scientist and use regression discontinuity to see which debts are worth collecting. | |
Who Is Drunk and When in Ames, Iowa? |
Flex your pandas muscles on breath alcohol test data from Ames, Iowa, USA. | |
Who's Tweeting? Trump or Trudeau? |
Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting! | |
Word Frequency in Moby Dick |
Use web scraping and NLP to find the most frequent words in Herman Melville's novel, Moby Dick. |
SQL project
| Project Name | Description | Note |
|---|---|---|
Analyze International Debt Statistics |
Write SQL queries to answer interesting questions about international debt using data from The World Bank. | |
Introduction to DataCamp Projects |
If you've never done a DataCamp project, this is the place to start! | |
TV, Halftime Shows, and the Big Game |
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows. |
Cheatsheet
- Data Transformation with dplyr
- Data Visualization with ggplot2
- LATEX math notation
- Date and Time with lubridate
- Data Wrangling with pandas
- R Markdown
- Shiny
- String Manipulation with stringr
Open Source Agenda is not affiliated with "DataCamp Project" Project. README Source: jusliu9547/DataCamp_project
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