This is a project for RajasthanHackathon 4.0

Some example for data analytics

Medical Data Analyzer project for FreeCodeCamp Data Analyst with Python course.

Hotellings T^2 Statistics Q sample problem

Cluster analysis using distance measure in R

Google Play Store ( 2010 To 2018 ) Data Analysis & Visualization Using Jupyter Notebook

Auto ARIMA Model

An ensemble of 3 models - AdaBoost, XgBoost and Random Forests to classify machine failures.

Greetings! This repository showcases the continuous assessment for CCT College Dublin's "Machine Learning for Business" course, specifically focusing on the application of machine learning models to time series data. In this project, we applied a total of 8 time series models to gain comprehensive insights into the dataset.

These are my projects about the freecodecamp course "Data Analysis with Python"

Analyze Worldwide Box Office Revenue with Plotly and Python

Making Predictions using Covid-19 DataSet with Apache-Spark

The Prediction and Classification of Wine Quality

A codebase for two data analysis projects, both developed using Python. The first project is a GUI application for managing student performance, using Tkinter and csv for input storage and analysis. The second project is a web scraping tool for analyzing movie data from IMDB, using bs4 and pandas for data processing and matplotlib for visualization

The dataset that we will be wrangling (and analysing and visualising) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.

Statistics, Data science diff. concept Visualization thro' programming and libraries.

This contains analysis of the UK housing dataset from the year 1999 to 2019.

"Superstore Power BI Dashboard" project is dedicated to unraveling the secrets hidden within the Superstore's data treasure trove, offering insights that will guide the organization towards targeted growth, enhanced profitability, and superior decision-making.

Analysis the raw data to capture through a survey for the most frequent food items consumed during covid