garroshub

A-B-Testing---Machine-Learning

A major issue with traditional, statistical-inference approaches to A/B Testing is that it only compares 2 variables - an experiment/control to an outcome. The problem is that customer behavior is vastly more complex than this. Customers take different paths, spend different amounts of time on the site, come from different backgrounds (age, gender, interests), and more. This is where Machine Learning excels - generating insights from complex systems.

AI_Quiz_Generator

AI-powered quiz generator that creates custom quizzes from documents using Google's Gemini AI

Credit_Card_Fraud_Detection

A machine learning model using classification algorithms and techniques to accurately detect if a credit card transaction is fraudulent or not.

Deep-Learning-with-PyTorch-Neural-Style-Transfer

Neural Style transfer is an optimization technique used to take a content and a style image and blend them together so the output image looks like the content image but painted in the style of the style image.

Equity_Research_Auto

This app provides a comprehensive equity research dashboard using data from Financial Modeling Prep API.

ESG_Analysis_NLP

Are you interested in ESG investment? Here is a sample project that deploys cutting-edge NLP techniques to analyze a company's ESG performance.

Modern-Portfolio-Optimizer

This Streamlit app calculates an optimal investment portfolio based on a user-defined minimum required return and selection of funds.

Monte_Carlo_Cashflow_Forecast

The app caculates a company's valuation by making probabilistic projections about its future cash flows. After the user of the app has entered a stock ticker, the application pulls financial information from Yahoo Finance to provide historical financial figures on important inputs to the valuation model.

Option-Trading-Analytical-Platform-App

Purpose: Compare different option chains and calculate value of calls/puts with Black Scholes

Stock_Price_Prediction_LSTM-Deep-Learning

Predicting closing stock prices using Deep Learning models such as Long Short Term Memory (LSTM), a Basic Artificial Neural Network(CNN), Recurrent Neural Networks (RNN), Multilayer Perceptron (MLP) and Autoencoder.

garroshub/Monte_Carlo_Cashflow_Forecast

The app caculates a company's valuation by making probabilistic projections about its future cash flows. After the user of the app has entered a stock ticker, the application pulls financial information from Yahoo Finance to provide historical financial figures on important inputs to the valuation model.

garroshub/Option-Trading-Analytical-Platform-App

Purpose: Compare different option chains and calculate value of calls/puts with Black Scholes

garroshub/A-B-Testing---Machine-Learning

A major issue with traditional, statistical-inference approaches to A/B Testing is that it only compares 2 variables - an experiment/control to an outcome. The problem is that customer behavior is vastly more complex than this. Customers take different paths, spend different amounts of time on the site, come from different backgrounds (age, gender, interests), and more. This is where Machine Learning excels - generating insights from complex systems.

garroshub/Credit_Card_Fraud_Detection

A machine learning model using classification algorithms and techniques to accurately detect if a credit card transaction is fraudulent or not.

garroshub/Deep-Learning-with-PyTorch-Neural-Style-Transfer

Neural Style transfer is an optimization technique used to take a content and a style image and blend them together so the output image looks like the content image but painted in the style of the style image.

garroshub/Deep-Neural-Network-Application-Image-Classification

Build and apply a deep neural network to supervised learning

garroshub/Digital_Banking_Data_Dashboard

This project envisions running an exploratory data analysis on the dataset and then building a web page to display all the results and relevant information about the bank clients.

garroshub/Equity_Research_Auto

This app provides a comprehensive equity research dashboard using data from Financial Modeling Prep API.

garroshub/ESG_Analysis_NLP

Are you interested in ESG investment? Here is a sample project that deploys cutting-edge NLP techniques to analyze a company's ESG performance.

garroshub/Modern-Portfolio-Optimizer

This Streamlit app calculates an optimal investment portfolio based on a user-defined minimum required return and selection of funds.

garroshub/Sales_Data_Prediction

This app is a demonstration of how data solutions like data analysis and forecast can easily be made end user friendly, such type of apps (web apps) can be used to get an overview of a company and its performance in the recent time.

garroshub/Stock_Price_Prediction_LSTM-Deep-Learning

Predicting closing stock prices using Deep Learning models such as Long Short Term Memory (LSTM), a Basic Artificial Neural Network(CNN), Recurrent Neural Networks (RNN), Multilayer Perceptron (MLP) and Autoencoder.

garroshub/Dice-Game

garroshub/Digital-Resume

This is my digital resume portfolio

garroshub/Drum-Master

garroshub/Financial-Analysis-Dashboard

Financial dashboard using Python and Streamlit

garroshub/Gapur

Hi there 🖖, This is my Github README.

garroshub/garroshub

garroshub/House_Price_Predicit

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.

garroshub/Live-Twitter-Sentiment-Analyzer

A streamlit application for determining the sentiment labels of live tweets

garroshub/My-Professional-Site

garroshub/NLP-Tweet-Emotion-Recognition-With-TensorFlow

We are going to create a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions. This is a multi class classification problem in the natural language processing domain.

garroshub/Portfolio_Optimizer_MPT

A Modern Portfolio Theory based portfolio optimizer dashboard web app with Streamlit, from a user’s input stock tickers.

garroshub/Sales-Analysis-and-Prediction-App-using-Streamlit

The repository is a streamlit based web app deployed as - https://rossman-streamlit.herokuapp.com/ which analyses sales for Rossman Stores using seaborn python library and make future sales prediction using Decision Tree Algorithm.

garroshub/Streamlit

garroshub/styles.css

garroshub/Tindog

garroshub/Titanic_Survival_Predict

The competition is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.