asghar-rizvi/Deep_Learning_Projects

Developed multiple Deep Learning projects using CNN, RNN, ANN, and fine-tuned models to tackle real-world challenges. Optimized architectures for diverse tasks, ensuring high accuracy and efficiency. Shared Jupyter Notebooks, providing insights into the model-building process to assist others in utilizing my work.

Language: Jupyter Notebook - Size: 128 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

asghar-rizvi/A-Core-Banking-System

Language: Python - Size: 173 KB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

asghar-rizvi/Image-Caption-Generator

Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

asghar-rizvi/asghar-rizvi

Size: 7.81 KB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Bazaar-Inventory-Tracking

Language: Python - Size: 1.24 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

asghar-rizvi/portfolio-website

Language: HTML - Size: 5.51 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Chat-Application

Language: HTML - Size: 236 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Django-ML-Apps

Using Django framework for backend and simple html css jquery, to build a simple yet efficient website to showcase my machine learning model. A ML model based on XGBOOST that can predict if you are applicable for loan or not, trained using a public dataset available on kaggle

Language: Jupyter Notebook - Size: 4.42 MB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Java_Bus_Management

Language: HTML - Size: 2.16 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

asghar-rizvi/AI-Lawyer-with-GUI

Language: Python - Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Health-Risk-Prediction-Platform-with-Flask-and-Machine-Learning

A Health Risk Prediction Platform using Flask and machine learning to predict heart attacks, kidney disease, liver disease, and diabetes. Features a user-friendly interface with HTML, CSS, and JavaScript, along with secure authentication, encrypted passwords, and session management. MySQL is used for database operations, achieving 98% model accurac

Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Email-Spam-Detector-EDA-Model-Building-and-Flask-Integration

The Email Spam Detector project uses Python to identify spam emails. It leverages a Kaggle dataset for training, employs TfidfVectorizer for preprocessing, and selects a Naive Bayes model for its performance. The Flask-based web app features an HTML/CSS frontend for user input and spam classification.

Language: Jupyter Notebook - Size: 679 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Movie_Recommendation_System

Welcome to the Movie Recommendation System! This platform combines a user-friendly HTML/CSS interface with Flask backend to deliver personalized movie suggestions. Integrated with the TMDB API for real-time data and enhanced by EDA from Kaggle, it ensures up-to-date recommendations and deep insights into movie trends.

Language: Jupyter Notebook - Size: 8.72 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

asghar-rizvi/EDA_Hotel_Cancellations

A comprehensive analysis of hotel booking data to understand factors influencing cancellations. This project explores trends in booking patterns, room rates, and cancellation rates using Python and data visualization libraries.

Language: Jupyter Notebook - Size: 7 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

asghar-rizvi/World-Energy-Consumption-Analysis-1965-2023-

An in-depth analysis of global energy consumption trends from 1965 to 2023, using data from various countries and regions.

Language: Jupyter Notebook - Size: 342 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Hotel_Reservation_Data_Analysis

This project involves a comprehensive data analysis of a hotel reservation dataset using Excel. The primary focus is on examining reservation cancellations. Through detailed analysis and visual representation.

Size: 2.8 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

asghar-rizvi/YouTube-Statistics-Project

This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.

Language: Python - Size: 858 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

asghar-rizvi/EDA_Student_DataSet

This repository contains the results of data analysis and exploratory data analysis (EDA) conducted on the Student_Dataset. The analysis focuses on understanding various factors affecting student grades and visualizing these relationships using Matplotlib and Seaborn.

Language: Jupyter Notebook - Size: 263 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0