jbibi1296 Goto Github PK

311_calls_analysis-hackathon_project

Information on 311 calls is available for our analysis via NYC OpenData. We analyzed this dataset to determine what the changing nature and volume of these calls indicates about a neighborhood. We pulled in data for nine departments that had both a high volume of calls and would give us an indication of the changing nature of a neighborhood. We cleaned up our data , engineered more features, removed rows, and created dummy columns for the different complaint types within each department. We aggregated our data into monthly totals by community board, by department. We mapped our data onto our Bokeh map to show how the number and types of complaints changes over time.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

ames_housing_price_predictor

We were given a task of building a price-prediction template using housing data from Ames, Iowa. The idea is to start with just Ames, IA and eventually we would bring it to the rest of the world. Analyzed and cleaned the data Performed feature engineering and feature selection/extraction. Visualized the data using scatterplots and heat maps to find correlations and outliers. Created my own pipeline to create 15 different combinations of Scalers, Transformers, Feature Engineering, and Predictive Models. Chose the best model with an RMSE of $18,000

atari-pong

Neural Networks For Playing Pong

atom

:atom: The hackable text editor

coursera-ai-in-production-capstone

covid-19-concentrator-data

COVID-19 Public Concentrator Data

data-structures-and-algos-course

My Coursework and Files from Data Structure and Algorithm Course on Coursera

deeplearning.ai

extract-stock-sentiment-from-news-headline

Extract Stock Sentiment From News Headlines

find-movie-similarity-from-plot-summary

NLP project to find similar movies using cosine similarity of the plot text

fm2txt

Rtl-sdr listens to radio, recognizes text and writes to txt file

guides-and-cheatsheets

My compilation of guides and cheatsheets

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

job_salary_predictor

I designed a selenium web-scraper that constantly pulls new jobs from google's job search platform and pull the Glassdoor estimated salary for these jobs. I cleaned up the job posting, tokenized, lemmatized, removed stop words, and ran it through a TFIDF-Vectorizer to prepare it for the regression models. I ran Linear Regression, Ridge, Lasso, Random Forest, Gradient Boost, Neural Net, and a CNN on the job posting and output the RMSE of each model. I then created an input form that allows a user to place in the text from their Resume and get an estimate of how much they are worth.

keras-gpt-2

Load GPT-2 checkpoint and generate texts

learn-python

Notebooks to help you learn Python

police_scanner_alerts

We created a web scraper that pulls in relevant data and formats it correctly to our data frame. When a new alert is created, it is pushed via IFTTT or email. Created a subscriber sign up form in python that allows a user to choose which city(ies) and alert(s) that they would like to receive email alerts about. In addition to the alert, relevant weather data on that neighborhood is also pushed out so first-responders could understand what the conditions are in the area.

python3-data-analytics-data-science-machine-learning-and-deep-learning-cheat-book

I prepared an All-In-One Python 3, Data Analytics, Data Science, Machine Learning, and Deep Learning Cheat Book using various cheat sheet, and guides from various sources

reddit_nlp_predictor

Created a Web-Scraper to pull posts from 2 subreddits (T-Mobile & Comcast). Cleaned up the data and performed NLP preprocessing to prepare it for the classifier. Designed a python class that allows you to throw in your parameters and it will run on 19 different models. The functions will then return a DataFrame showing you all of the relevant scoring metrics and highlight which model worked best on your data. Created a text-input form that allows a user to input text and it will predict whether the post came from the T-Mobile subreddit or Comcast.

resume-salary-predictor

This is my capstone project for General Assembly Data Science IMmersive

sagemaker-101-xgboost

Build, train, and deploy a bank enrollment predictor with Amazon SageMaker and XGBoost

sat_act_analysis

Collected SAT and ACT scores by state for 2017 and 2018. Analyzed and cleaned the data to get a better look at the data. Created Histograms, Heat maps, and scatter plots to find correlation in the data. Provided the SAT Board with a state that would give them a lot of opportunity to grow in.

smartthingspublic

SmartThings open-source DeviceType Handlers and SmartApps code