gt0410 Goto Github PK

assignment0

This is the first text analytics assignment

city-of-la-kaggle

Kaggle Competition

cloudcomputing

creating_python_package

This repository is about creating a package in python. The package listed in this code is for the Gaussian distribution, Binomial distribution. The package can be viewed at https://pypi.org/project/dist-gb/

crosstalk

Inter-htmlwidget communication for R (with and without Shiny)

data-science-best-resources

Carefully curated resource links for data science in one place

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

datascienceresources

Open Source Data Science Resources.

dbt_test

A repo with my dbt test code

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

gt0410

GitHub Profile

imageclassification_webapplication

An image classifier is built to identify the class of the leaves in given image. The classifier identifies if the leaves in given image are healthy or Angular leaf or bean rust. MobileNet model is used for feature extraction. Transfer learning method is applied to pre-trained MobileNet model. The model is tested in real-time using a web application built using Streamlit. The web application takes the image url from the user and gives the predicted class..

manufacturing-accounting-database-system

A typical manufacturing accounting system used across manufacturing industries. In this project, the database is developed from scratch.

nlp_sentiment_analysis

An LSTM model is trained in this project to identify the sentiment of a given review. Flask is used along with gunicorn to develop a web application that gives the sentiment of the user review. Docker and Kubernetes are used in the Google Cloud Platform to deploy and scale the model.

predicting_violentcrime_data

Exploratory Data Analysis and Feature Engineering on Violent Crime dataset from Kaggle and performing regression analysis to predict the crime rate per 100k population. This project compared the performances of Linear Regression, PLS, regularized models like Ridge regression, Lasso and Elastic Net models, and SVR models.

redactor

In this project we are trying to redact the sensitive information from the .txt files. Whenever sensitive information is shared with the public, the data must go through a redaction process. That is, all sensitive names, places, and other sensitive information must be hidden. Documents such as police reports, court transcripts, and hospital records all containing sensitive information. Redacting this information is often expensive and time-consuming.

tmdb-data-kaggle

unredactor

In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files. These files are used to buils corpora for finding tfidf score. Few files are used to train and in these files names are redacted and written into redacted folder. These redacted files are used for testing and different classification models are built to predict the probabilies of each class. Top 5 classes i.e names similar to the test features are written at the end of text in unreddacted foleder.

webscraping

In this project, we are trying to download the arrests pdf from the norman police website using the URL. The website consists of Public Records of Daily Incident Summary, Daily Case Summary, and Daily Arrests Summary. In this project, we will take into consideration only the arrests summary. The first page of the pdf is read and saved into DB. Using text mining techniques it is ensured that proper field in the pdf is saved into relevant fields in DB. This project is done with the use of Python and Linux command-line tools.