A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and most experienced employees leaving prematurely?

A Machine Learning model for generating gravitational waves

Hospital Database Management System (DBMS) is a comprehensive SQL project designed to streamline and optimize the management of hospital operations. This project aims to provide an efficient and user-friendly solution for storing, retrieving, and manipulating various types of healthcare-related data.

Data Analysis Project on Power BI

Different Data-set on various Important topic on Real-world Problems

Data Analysis and Data Visualization with Python & PowerBI

Hydro Analyser is is a first ever open source tool designed for hydrogeologists, engineers, and other professionals in the water resources industry to accurately analyze and optimize groundwater pumping tests

There are basic/advanced codes, notes and exercises for data analysis and data visualization. There are notes about statistic and advanced implement of statistic at python. There are some folders about exploratory data analysis, regex, linear algebra etc. Pandas, NumPy, Seaborn, Matplotlib, SciPy, Researchpy.

Introduction to Data, Signal, and Image Analysis with MATLAB Welcome to Introduction to Data, Signal, and Image Analysis with MATLAB! MATLAB is an extremely versatile programming language for data, signal, and image analysis tasks, including hundreds if not thousands of functions. With such a comprehensive tool set, knowing where to start can be…

Prediction using Decision Tree Algorithm to create Decision Tree Classifier.

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.

Predicting which areas in L.A are more prone to severe crime using decision trees and logistic regression models in R.

User Guide of the Data Interpolating Variational Analysis (Diva) software tool

This is a project for RajasthanHackathon 4.0

Python programme for scraping live football data from NaijaBet using selenium

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.