About This Two projects involves analyzing Pizza Data & Walmart Sales data using SQL to identify insights and trends. The aim is to do data-driven approaches to understand sales performance, identi…

This ReadMe repository describes my performance, experience and skills what I learn through in my career life.

This project involves analyzing Walmart sales data using SQL to uncover insights and trends. The aim is to leverage data-driven approaches to understand sales performance, identify key factors infl…

The goal of this project is to provide insights into consumer behavior and purchasing trends across different platforms. By analyzing data from Amazon and other sources, we aim to uncover valuable …

This repository contains a kidney disease classification model implemented using deep learning techniques, particularly a Convolutional Neural Network (CNN) classifier. The model is trained to clas…

Weather forecasting is the use of science and technology to forecast atmospheric conditions for a certain place and period.

This repository demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders. To demonstrate proficiency in data science…

Browse through different sites and pick on to scrape. Check the "Project Ideas" section for inspiration. Identify the information you'd like to scrape from the site. Decide the format of the output…

The YouTube Analytics API enables you to generate custom reports containing YouTube Analytics data. The API supports reports for channels and for content owners. Report fields are characterized as …

Stroke is a medical disorder in which the blood arteries in the brain are ruptured, causing damage to the brain. When the supply of blood and other nutrients to the brain is interrupted, symptoms m…

A library management system is used to maintain library records. To make work simpler in adding student data's to library management database. I use tkinter library to create GUI which helps to per…

Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. This system is primarily…

A library management system is used to maintain library records. It tracks Publisher details, Book details,Library Branch details,Book borrower details,Book loan details,Book copies details & Book …

Object Detection is a technology of deep learning, where things, human, building, cars can be detected as object in image and videos.It is merely to recognize the object with bounding box in the im…

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process…

Air pollution is defined as the introduction of pollutants, organic molecules, or other unsafe materials into Earth’s atmosphere.This can be in the form of excessive gases like carbon dioxide and o…

This Prediction is a research analysis process on data using classification algorithms to compare the accuracy rate for each algorithm given below on this Monkey Pox data such as ( K-Neighbors Clas…

From this Analysis on Turkey Student Data using KMeans and Hierarchical Clustering Process, We identify the count of Positive, Negative and Neutral values depend on the data provided. Also its valu…

In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or u…

In this KMeans Analysis Method, we handle Annual Income and Spending Score of Customers who came to mall to do shopping.

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools o…

The aim of this project is to predict whether a credit card transaction is fraudulent or not, based on the transaction amount, time and other transaction related data.It aims to track down credit c…

This project contains dataset of house sale prices for USA. It includes homes sold between May 2019 and May 2020. Goal to determine the market price of a house given a set of features.Analyze and p…

The data includes academic and personal characteristics of the students as well as final grades. The task is to predict the final grade from the student information. Using Machine Learning Algorithm.

K-nearest neighbors (KNN) is a type of supervised learning algorithm used for both regression and classification. KNN tries to predict the correct class for the test data by calculating the distanc…

Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the poten…

We all know that a house price is a number from some defined assortment, so obviously prediction of prices of houses is a regression task. To forecast house prices one person usually tries to locat…

Data Analysis is one aspect of Data Science that is all about analyzing data for different kinds of purposes. A process of inspecting, cleansing, transforming and modeling data with the goal of dis…

Data visualization is the representation of data through use of common graphics, such as charts, plots, infographics, and even animations. These visual displays of information communicate complex d…

Extracting essential data from a dataset and displaying it is a necessary part of data science; therefore individuals can make correct decisions based on the data. In this assignment, you will extr…