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NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)

A Panel-based Stock Analysis Dashboard

This repository contains tutorials about important python libraries: pandas, numpy, matplotlib, seaborn, plotly, cufflinks, BeautifulSoup, DateTime.

A Project in which you can have data visualization of any data.

This git project contains programming excercises written in python for almost everything ranging from Solving Problems using Algorithms and Data structures, webscrapping, managing connectivity to db, ml and plotting graphs

For comparing the subgenomes of wheat

Plotly, Cufflinks를 활용한 시각화 연습

💰 Top school donors analysis

Create an interactive data app using Streamlit

This is a prototype quant web app for stock traders. The app enables stock traders to analyse stocks using indicators such as bollingerbands, ema, sma and rsi including candlestick charts to observe price movements, velocity , volume and momentum for a specified trading session.Strategies are backtested to determine profitability and overcome loses

High-level stock quantitative toolkit based on open stock data platforms (e.g. Tushare). It uses mysql to store market data and supports custom quantitative strategies. It provides rich visualization functions and mathematical methods.

Assessing the conditions of stock prices of six Fortune Banks during financial crisis and COVID-19

capstone project for data analysis and visualization using seaborn, panda, numpy, cufflinks as well as deep learning models and machine learning

The practice jupyter notebooks which were created during the course of a data science Bootcamp

A python module to read and plot Galaxy RNA-seq data

Practice exercises completed using different machine learning packages in Python