Скачать с ютуб Quikr Car Price Prediction, Data Cleaning & Visualization Using 2N Data Analysis Application в хорошем качестве

Quikr Car Price Prediction, Data Cleaning & Visualization Using 2N Data Analysis Application

Quikr Car Price & & Fuel Prediction using (regression & classifier models), Data Cleaning & Visualization | Using own created 2N Data Analysis Application 2N Data Analysis & Model Building Overview This application provides various tools for managing and analyzing data. It is designed to help users interact with datasets, clean them, perform exploratory data analysis (EDA), and visualize data. Additionally, users can work with machine learning models and predictions. This application are build with purpose of no code for data analysis and machine learning model building. Features: Data Filter: Filter your data before performing analysis. Data Preview: View and explore the uploaded dataset with options to display different parts of the data. Data Overview: Get an overview of the dataset, including statistics, missing values, duplicates, and column types. Data Cleaning: Clean the data by handling missing values, duplicates, and encoding categorical variables. Data Visualization: Visualize the data with various charting options, such as pair plots, bar plots, scatter plots, treemaps, tables, area charts, etc., and a special feature that enhances your visualization experience like Power BI and Tableau. Prediction Model: Build predictive models, analyze results, and test your models by uploading new datasets and existing models. Contact: Find information on how to get in touch. In this project, I have cleaned the Quikr car dataset and built a regression model to predict the price of a car. Additionally, I created a classifier model to predict the fuel type of a car.