Keshava Prasaath's repositories
Electric_Fault_Detection-using-ML
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.
Etherium-Fraud-Detection
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.
Movie-Recommendation-system-
The propose of this system is to predict the top 5 similar movies based on the user's choice. A person may like a certain movie and wants to see some other based on the same type of movies he watched. This model can help him to find some good suggestions.
Employee_Salary_Prediction-using-ML
To predict the salary of employee based on the information provided in the dataset.
Hackerearth_art_exhibit_Project-using-ML
To predict the cost required to ship the sculptures to customers based on the information provided in the dataset.
Stream-Video-Game-using-Recommendation-System
This project aims to build a recommendation system for stream video games. The recommendation system is based on collaborative filtering, which is a technique commonly used in the industry to recommend products to users based on their past interactions with similar users.
Keshav_Portfolio
This portfolio is created to showcase my skills, projects and achievements. It provides an overview of his experience and background, and provides links to some of my notable projects.
Cashflow-Prediction-using-LSTM
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.
ChatBot-Application-using-Python
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.
Customer_Risk_Profile_Estimation
This project is used to find the customers who are most likely to default on credit card payments.
Data-Modelling-using-Power-BI
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.
DMart-Data-analysis-using-PowerBI
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
Edge-Detection-using-OpenCV
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.
Face-Detection-using-OpenCV
The project uses opencv module and haarcascades file to detect faces in the images.
Fashion-MNIST-Classification
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.
Financial-News-using-NLTK
To predict the sentiment of financial news using NLTK
Hiring-Challange-
In this assignment you will predict candidates hiring likelihood. The dataset provided contains attributes for 690 candidates.
HR-analytics---PowerBI
HR Analytics" typically refers to the application of data analysis and data science techniques to human resources (HR) data in order to gain insights and make informed decisions about workforce management, employee performance, recruitment, retention, and other HR-related matters. When such analytics are visualized using tools like Power BI, it bec
Image-to-Text-conversion-using-OCR-
The project uses pytesseract module to convert image into text and regular expression to extract specific fields from the extracted text.
Keshav25-2002
I am Keshav and I am a data science enthusiast, with skills in ML,DL,NLP.
Language-Detection-System
Langauge Detection Model is built using multinomial Naive Bayes and used NLP techniques like Count Vectorizer, BOW
MARKET-ANALYSIS-DASHBOARD-
The MARKET ANALYSIS DASHBOARD is a project that aims to provide a comprehensive analysis of market data.
Merchandise_Popularity_Prediction-using-ML
To predict the popularity from all the other data from dataset like Store_Ratio, Basket Ratio, Store Score.
MNIST-Handwritten-digit-recognition-using-ANN
The task is to classify a given image of a handwritten digit into one of 10 classes representing integer values from 0 to 9, inclusively.
Personal-Finance-Dashboard---PowerBI
The Personal Finance Dashboard is a data visualization project created using Power BI. It aims to help individuals manage and analyze their personal finances by providing insightful visualizations and data analysis based on their financial data.
SALES-DASHBOARD----POWERBI
This project is a Sales Dashboard developed using Power BI, a powerful data visualization and business intelligence tool. The dashboard provides a comprehensive overview of sales data, enabling businesses to analyze and monitor their sales performance.
SMS-spam-detection-using-NLP
The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged according being ham (legitimate) or spam.
Student-Evaluation-Analysis
This project analyzes the student evaluation dataset to identify the key factors that affect a course's overall evaluation and predict the expected course rating. The dataset contains 463 observations and 28 variables, including demographic information of the students and course attributes such as instructor's expertise, course difficulty, course
Text-summarization-using-Word-Frequency
Text Summarization is a very useful technique to get important parts of a large text document. This project uses word frequencies of the sentence and yield a score for each sentence.
Word-Embedding-using-Keras-
This project is a deep learning model built using Keras to learn word embeddings from text data. Word embeddings are a popular way of representing words as vectors, which can then be used as input to machine learning models.