Practice Project Titles

• Project 1: Alienbot - Create a Python chatbot from another planet!
• Project 2: Coffee Chatbot - Create a Python chatbot for ordering coffee!
• Project 3: Echo Chatbot - Build your very first chatbot in Python using user input, output, and string concatenation.
• Project 4: Cleaning US Census Data - Use your pandas and regex skills to clean up this dataset containing a bunch of census data collected by the US government.
• Project 5: Exploring Student Data - Summarize the features of a dataset about student performance at two different schools.
• Project 6: EDA: Diagnosing Diabetes - Inspect, clean, and validate a dataset on diabetes prevalence among females of Pima Indian heritage.
• Project 7: Census Variables - Apply your knowledge of variable types to investigate, clean, and begin to analyze a sample of simulated census data.
• Project 8: U.S.A. Presidential Vocabulary - Use word embeddings to analyze the inaugural addresses of the United States of America presidents.
• Project 9: Read the News Analysis - Use tf-idf to analyze a collection of news articles.
• Project 10: Mystery Friend - Use scikit-learn's bag-of-words functions and Naive Bayes classifier to figure out which of your friends sent you an anonymous postcard!
• Project 11: Discover Insights into Classic Texts - Perform a natural language parsing analysis with regular expressions to gain insights into Oscar Wilde's _The Picture of Dorian Gray_ or Homer's _The Iliad!_
• Project 12: Perceptron Logic Gates - Train Perceptrons to work like logic gates! This simple neuron can act as an AND or an OR gate.
• Project 13: Email Similarity - Categorize emails using a Naive Bayes Classifier.
• Project 14: Random Forests Project - Use random forests to predict the income of a person based on census data.
• Project 15: Predict Baseball Strike Zones With Machine Learning - Calculate and visualize MLB player strike zones based on their real data.
• Project 16: PCA Project - Use Principal Component Analysis (PCA) to transform features from telescope data to classify particles!
• Project 17: Handwriting Recognition using K-Means - Use K-Means clustering and scikit-learn to cluster images of handwritten digits.
• Project 18: Find the Flag! - Use decision trees to predict what continent a flag comes from based on features like color and shape.
• Project 19: Cancer Classifier - Classify tumors as either malignant or benign using K-Nearest Neighbors.
• Project 20: Predict Credit Card Fraud - Use Logistic Regression to predict credit card fraud.
• Project 21: Tennis Ace - Create a linear regression model that predicts the outcome for a tennis player based on their playing habits.
• Project 22: Honey Production - Fit a line to data about the honeybee population decline in the United States.
• Project 23: Transforming Data into Features - Perform data transformations on a clothing company customer review dataset!
• Project 24: Image Transformations with NumPy - Use NumPy and linear algebra knowledge to do fun image transformations!
• Project 25: Chocolate Scraping with Beautiful Soup - Use BeautifulSoup to scrape a site that contains over 1700 expert ratings of different chocolate bars. Then, put the data you find into Pandas and analyze the results!
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