analysis_on_house_sales_using_lr_and_rr

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 predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.

analysis_on_loan_prediction

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 potential borrower against the criteria set forth for lending.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 potential borrower against the criteria set forth for lending.

anandanraju

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

book_library_mini_project

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 Author details and how many books are issued, or how many books have been returned or renewed or late fine charges, etc.

brain_stroke_prediction_model_using_ml

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 might develop.

credit_card_fraud_detection_project

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 card transaction data, which is done by detecting anomalies in the transaction data.

crop_recommendation_system_using_machinelearning

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 concerned with performing Agro Consultant's principal role, which is to provide crop recommendations to farmers.

data_analysis_on_employee_salary

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 discovering useful information, informing conclusions and supporting decision-making.

eligibility_validation_report_model_for_borrowing_money_from_bank

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 unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.

house_price_prediction_model

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 locate similar properties in his or her neighborhood and based on collected data that person will try to predict the house price. All these indicate that house price prediction is an emerging research area of regression that requires the knowledge of machine learning. This has motivated me to work in this domain.

ibm_applied_data_science_capstone_final_project

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 and machine learning techniques using a real-world data set and prepare a report for stakeholders.

image_analysis_using_opencv

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 images and videos to identify objects, faces, or even the handwriting of a human.

india_2023_weather_predictive_analysis_project

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

india_air_pollution_analysis_project

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 other vapours that cannot be effectively removed through natural cycles, such as the carbon cycle or the nitrogen cycle.

kidney-disease-classification-dl-mlflow-dvc-project

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 classify kidney disease based on medical images.

kmeans_analysis_of_mall_customers_data

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

library_management_system_using_tkinter_gui

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 perform all this task easier.

monkey_pox_classification_model-

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 Classifier, RandomForest Classifier, AdaBoost Classifier, Bagging Classifier, Gradient Boosting Classifier, Decision Tree Classifier )

netflix_data_visualisation

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 data relationships and data-driven insights in a way that is easy to understand.

object_detection_using_opencv

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 image, where in image classification, we can simply categorize(classify) that is an object in the image or not in terms of the likelihood.

personbio

power_bi_dashboard_projects

The goal of this project is to provide insights into consumer behavior and purchasing trends across different platforms. By analyzing data from Amazon, YouTube, Starbucks, and other sources, we aim to uncover valuable insights that can inform marketing strategies, product development, and decision-making processes.

rajat4665

My Profile description

salary_prediction_and_analysis

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 distance between the test data and all the training points. Then select the K number of points which is closet to the test data.

student_grade_analysis_and_prediction_using_ml

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.

titanic_survival_prediction_model

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 of machine learning to predict which passengers survived in this tragedy.

turkey_student_evaluation_analysis--clustering-

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 value count and dependancy nature on each variable.

web_scraping_project

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 extract some stock data, you will then display this data in a graph.

web_scrapping_github_top_repositories

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 CSV file. Summarize your project idea and outline your strategy in a Jupyter Notebook.

youtube-data-api-model

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 either dimensions or metrics