Project Details

1. Business Problem Understanding :
this is hotel booking dataset of 4 cities in india. There are online portal to book the rooms as per the standerdization of the hotels class. The online portals are makemytripeasy, direct booking, locktri, tqister website, etc. now the hotel woner wants the most revenue, profit as per hotel class and city. and he wants to expands his franchaise in different city base on the analysis. This hotel is facing challangs in markets fromthere compitators and now woners wants to improve the revenue.

2. Data Collection and data Understanding :
Dataset : dim_hotel ----> contains the data of hotel contain hotel specifications, and room quality, location of hotel Dataset : room ----> data contains room dataset and class of the room which are standard, eligths, primium, and presidential Dataset :

Project Details

Emosion_Detection
This is project base on images where human facial expression images is classified as per the emosion. Person emosion is defferent as per behaviours such as Happy, Sad, Confused, Exited etc. This project is related to the human nature and predict his mood base on facial expression. This dataset is collected from the kaggle.com and analysis the human nature.

1. Problem statement :
study the human face images in different emosion and predict there emosion as per the facial expression. here main task is to predict the human face emosion base on its facial expression. each and every human has its bahaviour and which is approximate same for all. Base on the facial expression we are going to predict expression such as Happy, Sleepy, Sad, Agressive, etc.

2. Data preprocessing :
convert all images in the fixed size. To convert the data fix resolution or pixel is best way to clean images and helps to analysis the prediction.

Project Details

Predict purchase amount of product base on customer purchase statergy. Data missing value and Cleaning.Featurs scaling. skills are implimented. where i have studied and analysis product analysis and its insighs

Live Interactive Dashboard

Project Details

This dataset contains product data of a store where representated the relationship between each product and analysis the customer behaviour to purchase product base on the gender, eduction and its spending and earning rate.

Live Interactive Dashboard