Mauzum Shamil's Projects
Welcome to My Data Science Projects challenge Showcase! Dive into 200+ projects in Python, designed to grasp key data science concepts like analysis, classification, regression, sentiment analysis, text analysis, and recommendation systems.
In my academic journey in computer science, I have delved into a myriad of projects and research endeavors that have enriched my understanding and honed my skills within the discipline. Throughout this pursuit, I've embraced a diverse array of challenges and opportunities, each contributing to my growth as a computer scientist.
Our project, "Text-to-Price: Leveraging NLP for Predicting Amazon Product Prices," aims to revolutionize the way we predict product prices on Amazon. With a dataset comprising over 500,000 product descriptions, we employ cutting-edge Natural Language Processing (NLP) techniques to convert text data into numerical vectors.
This repository serves as a central storage space for a collection of datasets in CSV format and images related to Convolutional Neural Networks (CNNs). The datasets contained within the CSV files provide tabular data for various machine learning and data analysis projects.
In this projects, we aim to develop a robust image detection system using state-of-the-art deep learning architectures such as Convolutional Neural Networks (CNN), ResNet50, EfficientNet, and other similar models.
Deep learning projects leverage artificial neural networks, inspired by the structure and function of the human brain, to extract meaningful patterns and insights from complex data.
Welcome to a collection of Exploratory Data Analysis (EDA) projects! In this repository, I showcase a diverse range of EDA projects that explore intriguing datasets from various domains. My projects are designed to uncover hidden insights, reveal trends, and provide valuable perspectives on real-world phenomena using data-driven approaches.
This repository contains code for performing emotion detection on images or videos using computer vision techniques and deep learning models.
Using Power BI, a leading business intelligence tool, this project will leverage SN Corp's sales dataset to unlock valuable business insights. By transforming raw sales data into interactive dashboards, this initiative will empower decision-makers at SN Corp to make informed choices that drive growth, optimize operations, and enhance customer satis
The FaceRecognition Attendance System is an advanced solution designed to automate the process of recording attendance using facial recognition technology. This project leverages the capabilities of OpenCV, DeepFace, and SQLite to create a reliable and efficient attendance tracking system.
🍽️ Food Nutrition Projects 📊 This repository contains a collection of projects focusing on food nutrition analysis and prediction. From exploratory data analysis to machine learning models and interactive dashboards, these projects showcase various approaches to understanding and utilizing nutrient data for dietary planning and analysis.
Future Tweet Analysis Suite This repository houses a curated collection of projects dedicated to dissecting future tweets and predicting sentiments using a variety of methodologies.
An end-to-end chatbot built using Streamlit for Go-Mart, an online shopping platform. This chatbot assists users with inquiries about products, orders, and delivery, providing a seamless shopping experience.
The Landmark Image Classifier is a powerful tool that automatically identifies landmarks in images. With its ability to recognize over 100,000 landmarks from around the world, the classifier simplifies tasks related to travel, tourism, cultural preservation, and geographical research. Whether you're a traveler looking to identify landmarks in your
The heart disease detection project aims to develop a machine learning models that can predict the presence of heart disease in patients based on various medical attributes.
This project showcases an analysis of a hotel reservation dataset using SQL. The dataset provides insights into guest preferences, booking trends, and operational factors crucial for the hotel industry. Each SQL query is designed to answer specific questions about the dataset, enabling deeper understanding and actionable insights.
Embark on a transformative journey into the realm of machine learning, where you'll learn to conceptualize, develop, and deploy powerful predictive models that unlock valuable insights and drive informed decision-making.
Embark on an illuminating exploration of data visualization with Matplotlib and Seaborn, two indispensable libraries in the Python ecosystem for creating captivating and insightful visual representations of data.
My personal repository
Medical projects in data science often leverage machine learning (ML) and deep learning (DL) techniques to analyze healthcare data.
Natural Language Processing (NLP) projects leverage the synergy between artificial intelligence and linguistic analysis to enable machines to comprehend, interpret, and respond to human language in a meaningful manner.
OpenCV, short for Open Source Computer Vision Library, is a powerful open-source computer vision and machine learning software library. It provides a wide range of functionalities for tasks such as image and video processing, object detection and recognition, face recognition, feature extraction, and more.
Welcome to my personal Power BI Dashboards Repository - a curated collection of dynamic data visualizations designed to unlock insights and drive informed decision-making. Dive into a diverse array of interactive dashboards, meticulously crafted to showcase trends, analyze data, and uncover valuable insights across various domains.
Embark on a journey through the fundamentals of Python programming, progressing seamlessly from basic data structures like lists and tuples to the powerful libraries of NumPy and Pandas for data manipulation and analysis.
# Reddit Stock Price Analysis Projects This repository hosts a collection of projects focused on analyzing Reddit stock data. From predictive modeling to portfolio optimization and risk analysis, each project explores everything.
Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN) are powerful deep learning architectures used for sequential data processing. Both LSTM and RNN models excel in tasks such as time series prediction, natural language processing, and sequence generation.
Welcome to my SQL Projects and Achievements repository! This repository showcases various SQL projects I've worked on and highlights my achievements in mastering SQL
Explore interconnected e-commerce and HR databases through SQL queries. Gain insights into sales, inventory, employees, and more for comprehensive data analysis.
Welcome to the Time-Series Forecasting Projects repository. This collection showcases various projects that utilize different techniques and models to predict future values based on historical data. These projects serve as practical examples for understanding and applying time-series forecasting methods in real-world scenarios.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent