Keshava Prasaath's Projects
The objective of the project is to generate a abstractive summary from a bigger article. The process includes all the preprocessing step and summarizing the whole article. This will be very helpful to get the important context of bigger article.
Aim of this project is to predict whether income exceeds $50K/yr based on census data.
This Project is used to predict and classify the apps into benign or malware
This repo's main purpose is to automate the ML process using scikit learn. I have performed the automation process in both classification and Regression
This file contains the cleaned data for automobile price data and will attach a unfiltered file and the filtered file
This Machine Learning Web Application uses a several features of Banknotes like variance, skewness, curtosis and entropy to predict the Authenticy of Banknotes weither it is Genuine or Forged with an accuracy of 99.02% using Random Forest Classifier.This Dataset is taken from UCI Repository and also available in Kaggle,Data were extracted from imag
This project deals with binary classification(Like 1's and 0's ) . So basically the aim of the project is that ,based on the features the customers aren't allowed to close their bank account.
Primary aim of this project is to build machine learning model that give the should able to predict the sales of the different stores of Big Mart according to the provided dataset.
Project: Book Recommender System Using Machine Learning! | Collaborative Filtering Based
The underlying problem is to find the subset of customers with a probability of having a caravan insurance policy above some boundary probability.
This project is a deep learning model built using Long Short-Term Memory (LSTM) to predict future cashflows for a business based on historical data. The model is trained on a dataset of past cashflows, and it can predict future cashflows with a high degree of accuracy.
The objective of the project is to build a chatbot application using python. The chatbot can work in retrieval based and generative based. You can create a general chatbot with the existing corpus (or) create a custom data for the related domain for any business purpose.
This project predicts the customers who are going to get churn in advanced . This project is done using ML.
This project is used to find the customers who are most likely to default on credit card payments.
This project focuses on data modeling techniques using Power BI, a powerful business intelligence tool. The objective of this project is to demonstrate how to structure and organize data effectively to create meaningful relationships, calculations, and visualizations in Power BI.
This repository consists of visualization methods like Mat-plot-lib , seaborn and Plotly.
This project aims to analyze the sales data of DMart, a fictional retail store, using Power BI. Power BI is a business analytics tool provided by Microsoft that enables users to visualize and analyze data from various sources. In this project, we leverage Power BI to gain insights into DMart's sales performance, customer behavior, and product trend
This repository contains code and resources for performing edge detection using both the OpenCV and scikit-image libraries in Python. Edge detection is a fundamental step in computer vision and image processing, often used for tasks like object recognition, image segmentation, and more.
This project aims to detect and classify faults in electric power systems using machine learning algorithms. Fault detection is crucial for ensuring the reliability and safety of electric power systems. The project uses a publicly available dataset to train and test various machine learning models for fault detection.
To predict the salary of employee based on the information provided in the dataset.
This project aims to detect fraudulent transactions in the Ethereum blockchain using machine learning algorithms. Fraud detection is crucial for maintaining the integrity and security of the blockchain, and can help prevent financial losses due to fraudulent activity.
The project uses opencv module and haarcascades file to detect faces in the images.
The objective of the project is to detect facial expression using image dataset. CNN is used to classify the images.
Fashion MNIST is intended as a drop-in replacement for the classic MNIST dataset—often used as the "Hello, World" of machine learning programs for computer vision. The MNIST dataset contains images of handwritten digits (0, 1, 2, etc.) in a format identical to that of the articles of clothing you'll use here.
To predict the sentiment of financial news using NLTK
The objective of the project is to detect gender and age using facial images. Convolutional Neural Network is used to classify the images. There are 2 output types namely, gender(M or F) and age.
Building an end to end ML project using M.L and Python. This project is used to predict whether the person is overweight or underweight using M.L
To predict the cost required to ship the sculptures to customers based on the information provided in the dataset.
This project is used to classify the signals. We need to determine if it is a signal or is it a noise
In this assignment you will predict candidates hiring likelihood. The dataset provided contains attributes for 690 candidates.
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