-
Notifications
You must be signed in to change notification settings - Fork 146
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
0019c0e
commit a94118d
Showing
1 changed file
with
60 additions
and
37 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,49 +1,72 @@ | ||
| <p align="center"> | ||
| <img src="https://cdn.datacamp.com/main-app/assets/brand/logos/DataCamp_Horizontal_RGB-d196011f63ebda76dc5c9772425cf9541b8639af842d5e5476ef10f2460ed1e4.png" width="400"> | ||
| <img src="https://cdn.datacamp.com/main-app/assets/brand/logos/DataCamp_Horizontal_RGB-d196011f63ebda76dc5c9772425cf9541b8639af842d5e5476ef10f2460ed1e4.png" width="400"> | ||
| </p> | ||
|
|
||
| # Projects | ||
| # DataCamp Project Solutions - Python | ||
|
|
||
|
|
||
| Designed by expert instructors, DataCamp Projects are an important step in your journey to become data fluent and help you build your data science portfolio to show employers. | ||
| This repository contains solutions to various DataCamp projects. These projects are designed by expert instructors and are an important step in your journey to become data fluent. They help you build your data science portfolio to show employers. | ||
|
|
||
| <p align="center"> | ||
| <img src="https://cdn.datacamp.com/main-app/assets/projects/projects-illustration-fb3e253ea0527cd53aafbd5ed1c4570a5c818c8deba9d0cedceb095bf64cb3fa.svg" width="200"> | ||
| <img src="https://cdn.datacamp.com/main-app/assets/projects/projects-illustration-fb3e253ea0527cd53aafbd5ed1c4570a5c818c8deba9d0cedceb095bf64cb3fa.svg" width="200"> | ||
| </p> | ||
|
|
||
| My Solutions to [Datacamp Projects](https://www.datacamp.com/profile/veeralakrishna). | ||
| ## Table of Contents | ||
|
|
||
| - [Projects](#projects) | ||
| - [Getting Started](#getting-started) | ||
| - [Prerequisites](#prerequisites) | ||
| - [Contributing](#contributing) | ||
| - [License](#license) | ||
|
|
||
| ## Projects | ||
|
|
||
| Designed by expert instructors, DataCamp Projects are an important step in your journey to become data fluent and help you build your data science portfolio to show employers. | ||
|
|
||
| | Project | Description | | ||
| | --- | --- | | ||
| |[ `A Network analysis of Game of Thrones` ](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/A%20Network%20analysis%20of%20Game%20of%20Thrones)| [Analyze the network of characters in Game of Thrones and how it changes over the course of the books.](https://www.datacamp.com/projects/76) | | ||
| | [`A New Era of Data Analysis in Baseball`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/A%20New%20Era%20of%20Data%20Analysis%20in%20Baseball) |[Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.](https://www.datacamp.com/projects/250)| | ||
| | [`A Visual History of Nobel Prize Winners`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/A%20Visual%20History%20of%20Nobel%20Prize%20Winners) | [Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?](https://www.datacamp.com/projects/441) | | ||
| | [`ASL Recognition with Deep Learning`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/ASL%20Recognition%20with%20Deep%20Learning) | [Build a convolutional neural network to classify images of letters from American Sign Language. In this project, we will train a convolutional neural network to classify images of ASL letters.](https://www.datacamp.com/projects/509)| | ||
| |[`Analyze Your Runkeeper Fitness Data`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Analyze%20Your%20Runkeeper%20Fitness%20Data) | [Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.](https://www.datacamp.com/projects/727)| | ||
| |[`Bad passwords and the NIST guidelines`](https://www.datacamp.com/projects/141) | [Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines.](https://www.datacamp.com/projects/141) | | ||
| | [`Book Recommendations from Charles Darwin` ](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Book%20Recommendations%20from%20Charles%20Darwin)| [Build a book recommendation system using NLP and the text of books like "On the Origin of Species."](https://www.datacamp.com/projects/607) | | ||
| |[ `Classify Song Genres from Audio Data`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Classify%20Song%20Genres%20from%20Audio%20Data) | [Rock or rap? Apply machine learning methods in Python to classify songs into genres. ](https://www.datacamp.com/projects/449)| | ||
| | [`Disney Movies and Box Office Success`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Disney%20Movies%20and%20Box%20Office%20Success) |[Explore Disney movie data, then build a linear regression model to predict box office success.](https://www.datacamp.com/projects/740) | | ||
| |[ `Do Left-handed People Really Die Young?`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Do%20Left-handed%20People%20Really%20Die%20Young_) | [Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.](https://www.datacamp.com/projects/479) | | ||
| |[ `Dr. Semmelweis and the discovery of handwashing`](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Dr.%20Semmelweis%20and%20the%20Discovery%20of%20Handwashing) | [Reanalyse the data behind one of the most important discoveries of modern medicine: Handwashing.](https://www.datacamp.com/projects/20) | | ||
| | `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 development of the Linux operating system by exploring its Git repository history. | | ||
| | `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 AdWords` | 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. | | ||
| | `Name Game: Gender Prediction using Sound` | Analyze the gender distribution of children's book writers and use sound to match names to gender. | | ||
| | `Predicting Credit Card Approvals` | Build a machine learning model to predict if a credit card application will get approved. | | ||
| | `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? | | ||
| | `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. | | ||
| | `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. | | ||
| | `Word Frequency in Moby Dick` | Use web scraping and NLP to find the most frequent words in Herman Melville's novel, Moby Dick. | | ||
| | [A Network analysis of Game of Thrones](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/A%20Network%20analysis%20of%20Game%20of%20Thrones) | Analyze the relationships between characters in Game of Thrones. | | ||
| | [A New Era of Data Analysis in Baseball](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/A%20New%20Era%20of%20Data%20Analysis%20in%20Baseball) | Use data analysis techniques to understand the evolution of baseball. | | ||
| | [A Visual History of Nobel Prize Winners](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/A%20Visual%20History%20of%20Nobel%20Prize%20Winners) | Explore the history of Nobel Prize winners through data visualization. | | ||
| | [ASL Recognition with Deep Learning](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/ASL%20Recognition%20with%20Deep%20Learning) | Build a convolutional neural network to recognize American Sign Language. | | ||
| | [Analyze Your Runkeeper Fitness Data](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Analyze%20Your%20Runkeeper%20Fitness%20Data) | Import, clean, and analyze your Runkeeper fitness data. | | ||
| | [Bad passwords and the NIST guidelines](https://www.datacamp.com/projects/141) | Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines. | | ||
| | [Book Recommendations from Charles Darwin](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Book%20Recommendations%20from%20Charles%20Darwin) | Build a book recommendation system based on Charles Darwin's book collection. | | ||
| | [Classify Song Genres from Audio Data](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Classify%20Song%20Genres%20from%20Audio%20Data) | Rock or rap? Apply machine learning to classify song genres. | | ||
| | [Disney Movies and Box Office Success](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Disney%20Movies%20and%20Box%20Office%20Success) | Explore Disney movies and their box office success. | | ||
| | [Do Left-handed People Really Die Young?](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Do%20Left-handed%20People%20Really%20Die%20Young_) | Use probability and statistics to analyze if left-handed people die young. | | ||
| | [Dr. Semmelweis and the discovery of handwashing](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Dr.%20Semmelweis%20and%20the%20Discovery%20of%20Handwashing) | Analyze historical data to understand the discovery of handwashing. | | ||
| | [Exploring 67 years of LEGO](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Exploring%2067%20Years%20of%20LEGO) | Explore a database of every LEGO set ever built. | | ||
| | [Exploring the Bitcoin cryptocurrency market](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Exploring%20the%20Bitcoin%20Cryptocurrency%20Market) | Explore the market capitalization of Bitcoin and other cryptocurrencies. | | ||
| | [Exploring the evolution of Linux](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Exploring%20the%20Evolution%20of%20Linux) | Find out about the development of the Linux operating system by exploring its Git repository history. | | ||
| | [Find Movie Similarity from Plot Summaries](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Find%20Movie%20Similarity%20from%20Plot%20Summaries) | Use NLP and clustering on movie plot summaries to quantify movie similarity. | | ||
| | [Generating Keywords for Google AdWords](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Generating%20Keywords%20for%20Google%20AdWords) | Automatically generate keywords for a search engine marketing campaign using Python. | | ||
| | [Give Life: Predict Blood Donations](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Give%20Life%20Predict%20Blood%20Donations) | Build a binary classifier to predict if a blood donor is likely to donate again. | | ||
| | [Mobile Games A/B Testing with Cookie Cats](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Mobile%20Games%20AB%20Testing%20with%20Cookie%20Cats) | Analyze an A/B test from the popular mobile puzzle game, Cookie Cats. | | ||
| | [Name Game: Gender Prediction using Sound](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Name%20Game%20Gender%20Prediction%20using%20Sound) | Analyze the gender distribution of children's book writers and use sound to match names to gender. | | ||
| | [Predicting Credit Card Approvals](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Predicting%20Credit%20Card%20Approvals) | Build a machine learning model to predict if a credit card application will get approved. | | ||
| | [Recreating John Snow's Ghost Map](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Recreating%20John%20Snow%20Ghost%20Map) | Recreate John Snow's famous map of the 1854 cholera outbreak in London. | | ||
| | [Reducing Traffic Mortality in the USA](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Reducing%20Traffic%20Mortality%20in%20the%20USA) | Develop a strategy for reducing traffic-related deaths. | | ||
| | [Risk and Returns: The Sharpe Ratio](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Risk%20and%20Returns%20The%20Sharpe%20Ratio) | Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio. | | ||
| | [The Android App Market on Google Play](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/The%20Android%20App%20Market%20on%20Google%20Play) | Load, clean, and visualize scraped Google Play Store data to understand the Android app market. | | ||
| | [The GitHub History of the Scala Language](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/The%20GitHub%20History%20of%20the%20Scala%20Language) | Find the true Scala experts by exploring its development history in Git and GitHub. | | ||
| | [The Hottest Topics in Machine Learning](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/The%20Hottest%20Topics%20in%20Machine%20Learning) | Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research. | | ||
| | [TV, Halftime Shows, and the Big Game](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/TV%20Halftime%20Shows%20and%20the%20Big%20Game) | Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows. | | ||
| | [Up and Down With the Kardashians](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Up%20and%20Down%20With%20the%20Kardashians) | Plot Google Trends data to find the most famous Kardashian/Jenner sister. | | ||
| | [Which Debts Are Worth the Bank's Effort?](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Which%20Debts%20Are%20Worth%20the%20Banks%20Effort) | Play bank data scientist and use regression discontinuity to see which debts are worth collecting. | | ||
| | [Who Is Drunk and When in Ames, Iowa?](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Who%20Is%20Drunk%20and%20When%20in%20Ames%20Iowa) | Flex your pandas muscles on breath alcohol test data from Ames, Iowa, USA. | | ||
| | [Word Frequency in Moby Dick](https://github.com/veeralakrishna/DataCamp-Portfolio-Project-Solutions--Python/tree/master/Word%20Frequency%20in%20Moby%20Dick) | Use web scraping and NLP to find the most frequent words in Herman Melville's novel, Moby Dick. | | ||
|
|
||
| ## Getting Started | ||
|
|
||
| To get a local copy up and running follow these simple steps. | ||
|
|
||
| ### Prerequisites | ||
|
|
||
| - Python 3.x | ||
| - Jupyter Notebook or any other preferred IDE | ||
|
|
||
| ### Installation | ||
|
|
||
| 1. Clone the repo | ||
| ```sh | ||
| git clone https://github.com/veeralakrishna/DataCamp-Project-Solutions-Python.git |