drikus-d/datacamp-projects

This repository contains the Python notebooks from different projects from the DataCamp platform.

DataCamp Projects

This repository contains the Python notebooks from different projects from the DataCamp platform including:

Python

Name	Description
ASL Recognition with Deep Learning	Build a convolutional neural network to classify images of letters from American Sign Language.
Analyze Your Runkeeper Fitness Data	Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.
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.
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.
Extract Stock Sentiment from News Headlines	Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
Give Life: Predict Blood Donations	Build a binary classifier to predict if a blood donor is likely to donate again.
Name Game: Gender Prediction using Sound	Analyze the gender distribution of children's book writers and use sound to match names to gender.
Naïve Bees, Image Loading and Processing	Load, transform, and understand images of honey bees and bumble bees in Python.
Naïve Bees, Deep Learning with Images	Build a deep learning model that can automatically detect honey bees and bumble bees in images.
Predicting Credit Card Applications 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.
Reducing Traffic Mortality in the USA	How can we find a good strategy for reducing traffic-related deaths?
The Hottest Topics in Machine Learning	Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Which Debts Are Worth the Bank's Effort?	Play bank data scientist and use regression discontinuity to see which debts are worth collecting.

SQL

Name	Description
Analyze International Debt Statistics	Write SQL queries to answer interesting questions about international debt using data from The World Bank.