devinaa1604 Goto Github PK
Name: Devinaa Mangal
Type: User
Bio: A certified Data Analyst | R, Python, SQL, SAS, VBA, PowerBI, Tableau, Machine Learning and AWS
Location: Dallas,TX
Name: Devinaa Mangal
Type: User
Bio: A certified Data Analyst | R, Python, SQL, SAS, VBA, PowerBI, Tableau, Machine Learning and AWS
Location: Dallas,TX
This repository is for me to practice with APIs on Python
This project aims to create a Python script for analyzing the financial records of a pseudo company by automating the process.
Generated analysis of cryptocurrencies is available on the trading market and how they can be grouped using classification. To do this I used unsupervised learning and Amazon SageMaker by clustering cryptocurrencies and creating plots to present results.
This repository is for me to experiment with AWS Cloud.
This repository is for me to experiment with various Classification Models using Python.
This project aims to predict credit risk using various ensemble machine learning techniques. I have also tried to handle imbalance by using various sampling methods.
I have applied natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum. I have used sentiment analysis and POS tagging for that.
This repository is for me to experiment with Deep Learning on Python.
This project aims to understand the sentiment when a bit policy is introduced by the government. I have used Twitter data to do sentiment analysis using R.
This project aims to assess personal finances, and also be able to forecast a reasonably good retirement plan based on cryptocurrencies, stocks, and bonds. It uses Alpaca API to extract the data and uses Python to run analysis and create visualizations.
Used SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions. Analyzed on Python and created visualizations.
This project builds and evaluates deep learning models such as RNN using both the FNG values and simple closing prices to determine if the FNG indicator provides a better signal for cryptocurrencies than the normal closing price data.
The project aims to predict personality types using Natural Language Processing on the social media presence of more than 8600 individuals and implement various machine learning algorithms on a data set from Kaggle.
This repository is for me to practice with Natural Language Processing.
This repository is for me to practice with Pandas to use them in a financial environment.
This project aims to analyze various portfolios based on volatility, returns, risk, and Sharpe Ratio using Python and Pandas concepts.
Our aim was to make a model of housing prices that mimic the infamous Boston Housing Data but on a macro level. We wanted to use Multiple Linear Regression in order to predict the housing prices and make an interactive dashboard that tells the top 25 cities in the US for home investors in the next 5 years.
This repository is for me to practice with Python.
This repository is for me to practice with Python and Pandas.
This repository is for me to practice visualizations and Python Dashboards using PyViz Library.
This project runs a rental analysis on the property in San Francisco and aims to provide customers with a broad range of portfolio options. I have used Python's PyViz library to create a dashboard that helps the customers determine if they want to invest in rental properties in San Francisco.
This repository is for me to practice SQL using PostGreSQL and connecting it with Pandas.
This aims to run a subset selection process on the data set using R
This repository is for me to practice Time Series Forecasting.
This project aims to predict future yen prices using time-series models such as ARIMA as well as making out of sample and in sample predictions on Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.