R code to predict the AirBnB property price using Linear Regression model . This would help AirBnB firm to predict prices of the property customer want to rent out based on the amenities present and show it to the customer while booking a property. This helps company promote better customer centric experience.

A brain inspired stochastic neural network that is used for image classification

3 - Personal Project - Data Cleaning - Price Predictor - Brasília Apartments

To analyze the depreciation value of cars over the years by analyzing the sale prices on resale posts. This analysis will also include analysis on various factors like vehicle type, manufacturer, year and so on.

In this project, I analyzed Crankshaft List data to identify factors affecting car prices. Analyzing countless vehicle ads, we aimed to provide valuable insights to users for informed car buying/selling decisions.

IKEA Product Analysis and Price Prediction Using Linear Regression

Banglore Property Price Prediction - Employing XGBoost regression and advanced data science techniques, I successfully improved the R2score of the base model from negatives to an impressive 75%

This a Sneaker Classification Model built using tensorflow keras

Mercari Price Suggestion Challenge

Data preprocessing of raw airline data and predicting prices through various different regression algorithms. Also dumping the model and reusing it for new data.

In this project, I have used Boston Housing Dataset to train the model & Predict Results i.e. House Price according to model. The model is working absolutely fine with error rate of 10.54% which is totally accepted. The code can be used on various datasets by simple modifications.

A Neural Network LSTM model that predicts price of cryptocurrencies.

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.

EdTech project about predicting gas prices in Germany and learning about data science.

Diamond Price Predictor using kaggle dataset and decision tree model with 99% accuracy.

In this project the next day's close price of the Fameli stock in TSE will be predicted using CNN-LSTM model

Prediction of prices of selected cryptocurrencies using the ARIMA model.

Python code from scratch for predicting house prices using Multiple linear regression. Analyzing how cost function decreases with number of epochs. No inbuilt functions are used to implement the regression.