Pinned Repositories
coursera
html course
Credit-Card-Fraud-Detection
The credit card fraud detection model employs a Random Forest Classifier, a robust ensemble learning technique. It analyzes various transaction features to accurately identify fraudulent activities, leveraging the collective decision-making of multiple decision trees to enhance detection accuracy and resilience against data imbalances.
github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
IPL-Data-Exploration
It is Exploratory Data Analysis of IPL 2023 Auction dataset.
Leetcode_daily_solutions
LeetCode Daily Questions Solution
Mod-5-sol
Module 5 Solution
portfolio.github.io
Portfolio
Projects
All Project
Toxic-Comment-Classifier
This is a Toxic Comment Classifier model, which classifies text according to whether it exhibits offensive attributes (i.e. Insult, Obscene, Severe Toxicity).
Travel-Bot
TravelBot is an intelligent conversational agent designed to assist users in planning their travel itineraries and providing relevant information about transportation. Leveraging the Natural Language Toolkit (NLTK) library in Python, TravelBot employs NLP techniques to understand user queries and provide accurate responses.
Yashmenaria1's Repositories
Yashmenaria1/IPL-Data-Exploration
It is Exploratory Data Analysis of IPL 2023 Auction dataset.
Yashmenaria1/Leetcode_daily_solutions
LeetCode Daily Questions Solution
Yashmenaria1/Notepad
Notepad using Tkinter
Yashmenaria1/portfolio.github.io
Portfolio
Yashmenaria1/Projects
All Project
Yashmenaria1/Toxic-Comment-Classifier
This is a Toxic Comment Classifier model, which classifies text according to whether it exhibits offensive attributes (i.e. Insult, Obscene, Severe Toxicity).
Yashmenaria1/Credit-Card-Fraud-Detection
The credit card fraud detection model employs a Random Forest Classifier, a robust ensemble learning technique. It analyzes various transaction features to accurately identify fraudulent activities, leveraging the collective decision-making of multiple decision trees to enhance detection accuracy and resilience against data imbalances.
Yashmenaria1/PyTunes
PyTunes is an exciting and innovative project that brings the enchanting world of music to your fingertips through the power of Python. This project focuses on creating a virtual piano simulator, allowing users to explore the beauty of piano melodies without the need for a physical instrument.
Yashmenaria1/Travel-Bot
TravelBot is an intelligent conversational agent designed to assist users in planning their travel itineraries and providing relevant information about transportation. Leveraging the Natural Language Toolkit (NLTK) library in Python, TravelBot employs NLP techniques to understand user queries and provide accurate responses.
Yashmenaria1/VideoToPhotoConverter
VideoToPhotoConverter
Yashmenaria1/WineQualityPrediction
Wine Quality Prediction
Yashmenaria1/30_days_of_Javascript
Solution of LeetCode of Javascript Question
Yashmenaria1/AcademicHub---Comprehensive-Student-Record-Management-System
AcademicHub is a state-of-the-art Student Record Management System designed to streamline and enhance the management of student information for educational institutions. This comprehensive system offers a user-friendly interface and a robust set of features to efficiently organize, track, and analyze student records.
Yashmenaria1/Barber-Shop-Web
Yashmenaria1/calculator
Calculator Using Tkinter
Yashmenaria1/Data-Extraction-and-Text-Analysis
This project involves extracting information from various links and analyzing text to derive insights, patterns, and trends.
Yashmenaria1/Delhi_Metro_Network_Analysis
Delhi, the bustling metropolis of India, relies heavily on its lifeline, the Delhi Metro, to connect millions of commuters across the city. In a bid to optimize and enhance the efficiency of this vital transportation network, a cutting-edge Machine Learning (ML) model has been deployed to conduct a comprehensive analysis of the Delhi Metro network.
Yashmenaria1/Fashion-MNIST-Classification-Assignment
Final assignment in Coursera Course: Deep Neural Networks with PyTorch
Yashmenaria1/GeeksForGeeks_Coding_Questions_Solution
Solution of Coding Questions of GeeksForGeeks Platform
Yashmenaria1/HouseSalePrediction
House Sale Price Prediction
Yashmenaria1/IBM-AI-ENGINEERING-COURSERA
PEER GRADED AND GRADED ASSIGNMENT
Yashmenaria1/IBM-Al-Engineering-Al-Capstone-Project-with-Deep-Learning
Al-Engineering-Al-Capstone-Project-with-Deep-Learning-
Yashmenaria1/Iris-Flower-Classification
The goal of this project is to develop a machine learning model for the classification of Iris flowers based on their sepal and petal measurements. The dataset used for this task is the well-known Iris dataset, which includes features such as sepal length, sepal width, petal length, and petal width.
Yashmenaria1/LeetCode-75-days
Yashmenaria1/Movie-Rating-Prediction
Build a model that predicts the rating of a movie based on features like genre, director, and actors. You can use regression techniques to tackle this problem.
Yashmenaria1/Next-Word-Prediction
Next word prediction using TensorFlow and NLP improves writing by suggesting the next word in messages, emails, and essays. It uses deep learning to analyze text data, predicting the most likely word based on context. This enhances typing speed and accuracy, aiding in coherent and efficient communication.
Yashmenaria1/Placement-Data-Analysis-and-Prediction-Model-Development
The project aims to analyze past placement data, uncover factors affecting success, and develop a machine learning model to predict future placement outcomes. Through this, we aim to gain insights and build a reliable model for accurately forecasting candidate placements.
Yashmenaria1/Question_Pandas_Leetcode_Solution
Solution of LeetCode of Pandas Question
Yashmenaria1/Titanic-Survival-Prediction
Titanic survival prediction using different Machine learning algorithms with visualizations.
Yashmenaria1/Video-To-Image-Converter
The "Video to Image Converter" project creates a web app using HTML, CSS, and JS to extract frames from uploaded videos. Customize settings and download extracted images.