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

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.

A Panel-based Stock Analysis Dashboard

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

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

💰 Top school donors analysis

Create an interactive data app using Streamlit

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

After the lockdown , ott platforms got a big boost , and one such popular streaming platform is Netflix. To better understand user behavior and content popularity, we collected a dataset with information like movie name, cast, type, and ratings. Using data mining techniques, we were able to evaluate patterns and extract relevant information from it

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

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

Practice exercises completed using different machine learning packages in Python