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A repository of awesome panel examples. The apps are running entirely in the browser as webassembly apps. NO SERVER REQUIRED.
Some Python scripts & notebooks for Delft3D4-FLOW turbidity current simulations
This project utilizes Python visualizations packages, such as Plotly Express, HVPlot and PyPlot/Matplotlib to create an interactive dashboard exploring the San Francisco real estate housing market. Uses MapBox API.
This is an application that fetches historical data on 1 index, 4 stocks, and 2 crypto currencies and performs analytical calculations to assist in conducting a relative analysis between the index and the crypto currencies to determine if a relationship exists and the type of relationship for the purpose of conducting portfolio analysis and Monte Carlo Simulation for forecasting potential future returns.
Schulungsmaterialen für die Cusy Python-Schulungen: https://cusy.io/de/seminare
Fake News! Detector aims to find a way to weed out the real news from the fake news. We create this machine learning model to identify authentic news from the swam of fake news on social media.
This repo is a postGRESQL and fraud finding techniques
Analysing Chicago Crime Data
Using unsupervised learning to predict if crypto currencies are affected by 24-hour or 7-day price changes.
Creating a Python script to visualise the weather of over 500 cities of varying distances from the equator using citipy Python libraryLinks and OpenWeatherMap APILinks to create a representative model of weather across those cities.
This project uncovers patterns in Azuki, Cryptopunks & Boyed Ape Yatch Club NFT trading.
A Panel-based dashboard showing recent shootings in Philadelphia using Altair, Folium, and Hvplot
Unsupervised Machine Learning analysis to find patterns in Cryptocurrencies market valuations.
Телеграмм бот, который предсказывает тип психотипа по методике MBTI
Our goal was to create a ML bot that analyzes real time trading data to determine the most opportune times buy and sell stock
Data science project - collect, clean, process and display using machine learning and interactive dashboard
This repo is about calculating the buying power of economies based on dividing gold price by minimum wages per countries.
Using unsupervised machine learning, I created a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for this new investment.
Data Analysis on visually confirmed equipment losses in the Russia-Ukraine war
This notebook is in the area of People Analytics and includes the analysis of the IBM dataset to identify attrition. Besides attrition I also focus on diversity. I created strategies to reduce attrition.
Algorithmic trading and quantitative testing
Представлены основные работы связанные с анализом данных и машинным обучением
Financial Analysis - Analyzed impact of Inflation trends on Conservative, Moderate & Growth Portfolios
About automatic speech recognition (ASR) and build an audio content analyzer dashboard using AssemblyAI's API and Panel
Real estate analysis dashboard with interactive visualizations to explore investment opportunities
We created a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for this new investment.The data Martha provided us was not ideal, so we processed to fit the machine learning models. Since there is no known output for what Martha is looking for, we decided to use unsupervised learning. To group the cryptocurrencies, Martha and us decided on a clustering algorithm. We used data visualizations to share our findings with the board.
Weather and Perfect Vacationing Spots Worldwide