Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources.
The goal of the Hotel Reservations Cancellation Prediction project is to anticipate potential reservation cancellations by analyzing various features and variables associated with hotel bookings.
The aim of this data science project is to analyze customer demographics, services, tenure, and other variables to predict whether a particular customer will churn or not. Churn, in this context, refers to customers leaving the telecommunications company's services. By understanding the factors that contribute to churn, the company can take proactive measures to retain customers.
The objective of this project is to analyze the SFR (SpaceFund Realty) of the aerospace companies and their missions in order to help the investors to make better decisions.
The aim of this data science project is to predict the price of used cars in major Indian metro cities. The project utilizes data analysis and machine learning techniques to provide insights and price predictions, ultimately helping both buyers and sellers in the used car market.
The aim of this data science project is to predict crop yield using the dataset provided from Crop Yield Prediction. The dataset includes various environmental and agricultural factors such as rainfall, temperature, fertilizer usage, and macronutrient levels, along with the corresponding crop yield in Quintals per acre.
