Stocks Visualization of top tech companies (Apple, Google, IBM, Tesla, Amazon, sp500) from years 2012-2020.
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Updated
Mar 27, 2024 - Jupyter Notebook
Stocks Visualization of top tech companies (Apple, Google, IBM, Tesla, Amazon, sp500) from years 2012-2020.
EDA performed on timeseries data and different plots to get insights from data visualizations
This repository contains the solutions for assignments of Data Science Honours Course given by SPPU(2019-Pattern)
Sample Sales Data, Order Info, Sales, Customer, Shipping, etc., Used for Segmentation, Customer Analytics, Clustering and More. Inspired for retail analytics. This was originally used for Pentaho DI Kettle, But I found the set could be useful for Sales Simulation training.
Generative art pictures made with Python
Exploratory Data Analysis(EDA) on Haberman Dataset
Covid19-Data-Visualization Using Python and Tableau
Everlytics Internship Test in Python
Tkinter GUI that plots inserted function. Contains calculator buttons, spaces to input formula, title, xlabel, ylabel, xrange, yrange and checkboxes to include legend or grid. These arguments are not mandatory, every one has default values. [2021 ENG]
OpenMP Practice with Min/Max search in a vector, scalar product of vectors, simplest work with matrices.
Basic Functions and visualizations.
A NIRF ranking displays top Engineering institutions performance across India and also shows the variations in ranking in next 3 years.
Predicting IPL Cricket Players' Auction Price and analysing if they are over / under priced.
collection of examples / demos for python 'datadraw' package, organized as a flask app
This project utilizes various metrics to analyze a graph network based on data of ENZYMES_g295
Matplotlib is a powerful plotting library in Python that allows you to create static, animated, and interactive visualizations. It’s widely used for representing data graphically, making it easier to analyze and understand.
LASSO and Boosting for Regression on Communities and Crime data
Explore scalable Plotly Dashboards with dynamic capabilities. Organized structure for multiple dashboards, each with Plotly graphs and algorithms. Share common components and utilities for efficient development.
My Exploratory Data Analysis (EDA), Product Analysis and Statistical projects are stored here
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