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

Data Analysis of Bicycle Manufacturing Company Using Python, SQL and Power BI

This is a supply chain analytics project using Python, Tableau. In which conducted an analysis of supply chain inefficiencies, and developed informative dashboards to inform business stakeholders of potential issues, along with proposing strategic business enhancements.

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

This project develops a machine learning model to predict laptop prices using features such as RAM, weight, display, and brand.

Data Analysis and Data Visualization with Python & PowerBI

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…

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.

Interactive web-app using Streamlit and FastAPI back-end: Exploratory data analysis (EDA) and classification model integration

This project focuses on predicting diseases using various machine learning models. We import and clean the data, selecting features for our model. The dataset contains variables representing various clinical symptoms, with prognosis as the outcome, which is a result of the combination of symptoms.

Prediction using Decision Tree Algorithm to create Decision Tree Classifier.

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

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.

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

In this project, I first analyzed the Starbucks dataset and then built a model and tried to make predictions with this model.