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codepath-prework

coursera---python-classes-and-inheritance-

dice-simulator-game-

Built a dice simulator in Python 3 which allows the user to select the number of dice to be drawn on screen and adds up the total of the dice and displays it, along with the faces randomly generated by the algorithm.

fall-detector-using-python-and-opencv

I created this fall detector to passively monitor people of an advanced age in the summer of 2018 as a capstone project for my research program. It uses active contour's to detect any falls, and then divulges an alarm message. The code can be fed to a Raspberry Pi 3.

programmingassignment2

sentiment-classifier

I built this sentiment classifier using python 3 as part of the Coursera course 'Python Files, Functions, and Dictionaries.' The code analyses synthetic semi-randomly generated twitter data in a csv file named project_twitter_data.csv which has the text of a tweet, the number of retweets of that tweet, and the number of replies to that tweet. I have also created a csv file, which contains columns for the Number of Retweets, Number of Replies, Positive Score (which is how many happy words are in the tweet), Negative Score (which is how many angry words are in the tweet), and the Net Score for each tweet. At the end, I have produced a graph of the Net Score vs Number of Retweets.

stock-predictor

This is the R markdown file of my capstone team project in BSDS 100. We used deep learning algorithms to analyze trends in the S&P 500 index, and predicted whether the index would rise or fluctuate. The data used in this is collectively from 'Yahoo Data,' as well as from data.hub, so we amalgamated both datasets into a single master data. The macro goal of this project is to get a better understanding of how trends in the market can be foreseen, which will assist people in making smarter investment decisions.