Capstone Projects (ML)

Projects Details

Cricket is one of the most popular sports in world, especially in India. The game is highly uncertain. It is the sport which generate high revenue, so what if the winner team of the match can be predicted before the match, even have begin?

In this assignment we are going to predict the future ODI cricket match winner based on previous year’s match result,

In this capstone project we are going to recommend the similar games to the user based on their behavior.

This dataset is a list of user behaviors, with columns: user-id, game title, behavior name, value.

In this capstone project the task is to predict whether the transaction is fraudulent or non – fraudulent using the transaction data.

This dataset contains rows of known fraud and valid transactions made over Ethereum, a type of cryptocurrency. It is an imbalanced dataset project.

This is the capstone project in which the task is to predict the cost of shipping paintings, antiques, sculptures, and other collectibles to costumers based on the information provided in the dataset.

The dataset consists of parameters such as the artist’s name and reputation, dimensions, material, and price of the collectible, shipping details such as the customer information, scheduled dispatch, delivery dates, and so on.

In this capstone project we are going to scrape data from this covid 19 India website and using the data to develop our own dashboard which will update automatically by continuously fetching data after some fixed interval.

Big Brands spend a significant amount on popularizing a product. Nevertheless, their efforts go in vain while establishing the merchandise in the hyperlocal market. Based on different geographical conditions same attributes can communicate a piece of much different information about the customer. Hence, insights this is a must for any brand owner.

So here in this project we are going to predict the popularity from all the other data from dataset like Store Ratio, Basket Ratio, Store Score.

The sentiment of financial news articles reflects and directs the performance of the U.S. stock market. By performing sentiment analysis on the news headlines, we get the label of positive or negative with their confidence scores.

By using this output we can correlate to the stock market’s gains/losses on that particular day.

This is capstone project in which we need to predict the trip duration from all the other data from dataset like distance, location and weather information. Trip duration is the most fundamental measure in all modes of transportation.

Hence, it is crucial to predict the trip-time precisely for the advancement of Intelligent Transport Systems (ITS) and traveler information systems.

This is the first capstone project in which we are going to implement our salary prediction using the machine learning algorithm.

This model predicts the salary of the employee based on the year of experience of employee.

This is the first capstone project in which we are going to implement our salary prediction using the machine learning algorithm.

This model predicts the salary of the employee based on the year of experience of employee.

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