ulhas001

ulhas001's Stars

• asad70/reddit-sentiment-analysis

  This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

  Language:Python2549188

• manuvarkey/GEstimator

  GEstimator is a simple civil estimation software written in Python and GTK+. GEstimator can prepare estimates along with rate analysis and supports multiple databases.

  Language:Python375011

• leo27945875/Python_Stable_3D_Truss_Analysis

  slientruss3d : Python for stable truss analysis and optimization tool

  Language:Python23217

• civilcfd/Civil-CFD

  Free-surface 3D CFD Solver for Civil Engineering Problems

  Language:C++15302

• hamidpy/data-science-app-road-accident-analysis

  Data science web application for analysis motor vehicle collision in a city. Streamlit web app

  Language:Python10204

• lionelsamrat10/SAndP500-Stock-Price-Explorer-Web-App

  Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.

  Language:Python8205

• kelvinleong0529/Civil-Software-Assignment

  Simple GUI application built using Tkinter, that simulates the template function of SAP2000 software, capable of rapid generation of various spatial structures

  Language:Python6003

• iharshraj1123/Structure-analyser

  A light structure analyser for civil engineering students

  Language:JavaScript5100

• michaelxie1/Credit_Risk_Analysis

  In 2019, more than 19 million Americans had at least one unsecured personal loan. Personal lending is growing at an extremely fast rate, and FinTech firms need to go through an organize large amounts of data in order to optimize lending. Python will be used to evaluate several machine learning models to predict credit risk. Algorithms such as RandomOverSampler, SMOTE, and RandomForest will be used to analyze credit card datasets from a company (LendingClub) and use linear regression to both sample and predict data. This data can be used to determine the number of people who are predicted to be at high/low risk for credit risk.

  Language:Jupyter Notebook3104

• ErkanCetinyamac/Loan-Approval-Prediction-with-KNN-Algorithm-

  Predicting whether the person's loan will be approved or not.

  Language:Jupyter Notebook1100