README.md

DataCamp Project Solutions - Python

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.

Table of Contents

• Projects

• Getting Started

• Prerequisites

• Contributing

• 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	Analyze the relationships between characters in Game of Thrones.
A New Era of Data Analysis in Baseball	Use data analysis techniques to understand the evolution of baseball.
A Visual History of Nobel Prize Winners	Explore the history of Nobel Prize winners through data visualization.
ASL Recognition with Deep Learning	Build a convolutional neural network to recognize American Sign Language.
Analyze Your Runkeeper Fitness Data	Import, clean, and analyze your Runkeeper fitness data.
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 based on Charles Darwin's book collection.
Classify Song Genres from Audio Data	Rock or rap? Apply machine learning to classify song genres.
Disney Movies and Box Office Success	Explore Disney movies and their box office success.
Do Left-handed People Really Die Young?	Use probability and statistics to analyze if left-handed people die young.
Dr. Semmelweis and the discovery of handwashing	Analyze historical data to understand the discovery of handwashing.
Exploring 67 years of LEGO	Explore a database of every LEGO set ever built.
Exploring the Bitcoin cryptocurrency market	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 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	Develop a 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.
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.

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

   git clone https://github.com/veeralakrishna/DataCamp-Project-Solutions-Python.git