Hello Everyone,

Here is My Regression Project based on Predicting Price of Car using Linear Regression.

Dataset

I used Honda Used Car Selling Dataset which is one of my own Dataset uploaded on Kaggle.

Link to the Dataset : Car Price Dataset

Problem Statement

• The objective of this Project is to develop a Machine Learning Model that can accurately predict the prices of used cars based on various features and attributes.

• The predicted prices will assist both buyers and sellers in making informed decisions ensuring fair transactions in the used car market.

Link to the Notebook : Car Price Prediction

Streamlit Web App

• For my Car Price Prediction Project, I have created a Streamlit Web App for predicting the prices of cars in more interactive and user friendly way.

• This Web App allows you to predict the price of a car by just selecting some of its features and fill in some details.

• These all are the features you need to select or enter before Pressing the Predict Button :

➡️ 𝗬𝗲𝗮𝗿 : Select the manufacturing Year of the Car.

➡️ 𝗸𝗺𝘀 𝗗𝗿𝗶𝘃𝗲𝗻 : Input the Total Distance the Car has traveled.

➡️ 𝗙𝘂𝗲𝗹 𝗧𝘆𝗽𝗲 : Choose the Fuel Type of the Car.

➡️ 𝗦𝘂𝘀𝗽𝗲𝗻𝘀𝗶𝗼𝗻 : Pick the Type of Suspension the Car has.

➡️ 𝗖𝗮𝗿 𝗠𝗼𝗱𝗲𝗹 : Select Your Car Model from the available options.

• After selecting all these features, Just hit the '𝗣𝗿𝗲𝗱𝗶𝗰𝘁' Button.

• This Web App also has multiple constraints in the Input Feilds.

• I have named it AutoValuate.

Hello Everyone,

Here is My Classification Project based on Predicting which Passenger is transported to an Alternate Dimension.

Dataset

I used Spaceship Titanic Dataset which is uploaded by Kaggle on their Website in Competition Menu.

Link to the Dataset : Spaceship Titanic Dataset

Problem Statement

• The objective of this Project is to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly.

• To make these predictions, we have a set of personal records recovered from the ship's damaged computer system.

Link to the Notebook : Spaceship Titanic Classification

Streamlit Web App

• For my Spaceship Titanic Classification Project, I have created a Streamlit Web App for Finding out If a Passenger was Transported to an Alternate Dimensionin or not.

• This Web App allows you to classify the Passengers based on some Features and Criteria and Predict Whether They were transported or not.

• This Web App is Multi-Pages, means you can navigate to different pages through dropdown menu in Sidebar :

→ First Page is Home Page, which contains all information about the Problem Statement and Dataset.

→ Second Page is Web Application Page, which contains the interactive web application itself used to classify Passengers.

• It also contains a 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝗦𝗲𝗰𝘁𝗶𝗼𝗻 in the Sidebar, which lets you contribute to the project by 𝗚𝗶𝘃𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘀, 𝗙𝗼𝗿𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆 and 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱𝗶𝗻𝗴 𝗭𝗜𝗣 𝗙𝗶𝗹𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗲𝗻𝘁𝗶𝗿𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁.

Hello Everyone,

Here is My EDA Project based on Super Market Sales Analysis where I analyzed the Data by using Matplotlib and Seaborn.

Dataset

I used Super Market Sales Dataset from Kaggle recorded for 3 Different Cities for 3 Months.

Link to the Dataset : Super Market Sales Dataset

Problem Statement

The objective of this project is to analyze sales data to gain insights into customer purchasing behavior, product performance and overall trends of the supermarket business.

Link to the Notebook : Super Market Sales Analysis

Streamlit Web App

• For my Super Market Sales Analysis Project, I have created a Streamlit Web App for analyzing the Data in more interactive and user friendly way.

• This Web App allows you to dig deep into the sales data, helping you answer critical questions in just few clicks.