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ads1-hw-examples

How some homework solutions should work on some small examples

ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

ai_for_medicine

Notebooks used in AI for Medicine Specialization courses

american_time_use_survey

Analysis of the American Time Use Survey from the Bureau of Labor Statistics

areacalculator_codeacademy

This program is s a simple calculator that can compute the area of a circle and a triangle. The program (1) prompts the user to select a shape, (2) calculates the area of that shape, and (3) prints the area of that shape to the user.

bank_account_codeacademy

This is a simple excercise demonstrating classes and objects. It is modeled after a bank account. The methods included are: accepting deposits and withdrawls, showing the balance, and showing the name of the account. Included are checks to make sure that funds are available in the account before they can be removed.

battleship_codeacademy

This project is a simplified, one-player version of the classic board game Battleship! In this version of the game, there is a single ship hidden in a random location on a 5x5 grid. The player will have 4 guesses to try to sink the ship. To build this game I used knowledge of lists, conditionals and functions in Python.

bioinformatics_excercises

bioinformatics_specialization

Files in association with the Genomic Data Science Specialization from Johns Hopkins

breast_cancer_prediction

Wisconsin Diagnostic Dataset from Scikit learn

calendar_codeacademy

This is a a basic calendar program that the user will be able to interact with from the command line. The user can choose to (1) view the calendar, (2) add an event to the calendar, (3), update an existing event, or (4) delete an existing event.

chocolate_ratings

Analyze a database of different varieties of dark chocolate, their origins, and their ratings to determine what makes a great chocolate.

covid19_datathon

Group project in association with MIT's COVID-19 Datathon

dna_analysis_codeacademy

This is a learning exercise covering many aspects of python from the CodeAcademy course. The scenario: A spy deleted important files from a computer. There were a few witnesses at the scene of the crime, but no one is sure who exactly the spy was. Three possible suspects were apprehended based on surveillance video. Each suspect had a sample of DNA taken from them. The computer's keyboard was also swabbed for DNA evidence and, luckily, one small DNA sample was successfully retrieved from the computer's keyboard. Given the three suspects' DNA and the sample DNA retreived from the keyboard, it's up to you to figure out who the spy is! The project should have methods for each of the following: Given a file, read in the DNA for each suspect and save it as a string Take a DNA string and split it into a list of codons Iterate through a suspect's codon list to see how many of their codons match the sample codons. Pick the right suspect to continue the investigation on. My thoughts - 3 codons is not nearly enough to match DNA samples... but, regardless, here is the program:

dsp

Metis Data Science Bootcamp - Official Prework Repository

ecommerce_data_linear_regression

practice exercise_ analysis of ecommerce data to inform business strategy

ffu_conference_demographics

icu_predictions

Predicting the length of stay in the ICU using the MIMIC-III database

iris_flower_classification

classification of flowers into 3 species using petal and sepal measurements

kmussar.github.io

my blog

knn_excercise

Analysis of artificially generated data

lending_club_predictions

Predict if people will default on their loans

libminer

Explore Your R Libraries

madlibs_codeacademy

Mad Libs are short stories with blank spaces that a player can fill in. The result is usually funny (or strange). This program provides a story, request inputs from the user, then prints out the story with the appropriate blanks filled in.

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

modeling_ad_clicks

Created an accurate model to predict whether or not a user will click on an ad from this company based on their demographics, the time of day, and day of week

numberguess_codeacademy

This program is a simple game that compares a randomly generated number to a user's guess.

nyc_metro_marketing_optimization

Project to optimize MTA station marketing

predicting_washington_hiking_trail_ratings

regexcite

What the Package Does (One Line, Title Case)