This repository contains the Python notebooks from different projects from the DataCamp platform including:
| 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. |
| Name | Description |
|---|---|
| Analyze International Debt Statistics | Write SQL queries to answer interesting questions about international debt using data from The World Bank. |