Muhammad Muzzamil's repositories
french-game-tweets-toxicity-detection
Welcome to our project, where we leverage advanced sentiment analysis techniques to detect and classify toxic content in game-related tweets. Our goal is to develop a predictive model that can accurately identify toxicity based on the language used in these tweets.
OneStopNewsHub_ReactJS_WebApplication
Welcome to OneStopNewsHub, your premier destination for comprehensive and up-to-the-minute news coverage. Our web app brings you the latest stories from around the world, covering a wide range of topics including breaking news, business, politics, sports, entertainment, and more.
INotebook_MERN_Stack_Application
Welcome to iNotebook - Your Notes Saved in the Cloud! At iNotebook, we believe that capturing and organizing your thoughts should be effortless and convenient. That's why we have created a web application that revolutionizes the way you take notes and store them securely in the cloud.
ResPic-Image-Classification-with-ResNet50
ResPic is an image classification project that utilizes the power of a pre-trained ResNet50 model for accurate and efficient image classification.
FurFlix-Classifying-Cats-and-Dogs-with-CNN
Project Name: "FurFlix 🐱🐶: Classifying Cats and Dogs with CNN" Description: This project utilizes Convolutional Neural Networks (CNN) to build a model for classifying images of cats and dogs with an impressive 80% accuracy.
GradAdmit-ANN-Predictor
This project, GradAdmit-ANN-Predictor, focuses on predicting the likelihood of admission to a graduate program using an Artificial Neural Network (ANN) algorithm.
MNIST-Handwritten-Digit-Recognition-using-ANN
The main goal of this project is to train an ANN model on the training dataset and achieve a high accuracy in predicting the correct digit label for the test images. The model successfully achieves an accuracy of 97% on the test set, demonstrating its effectiveness in recognizing handwritten digits.
ChurnANNalyzer-Customer-Churn-Prediction-Using-ANN
ChurnANNalyzer is a customer churn prediction project that utilizes Artificial Neural Network (ANN) algorithm. The project aims to analyze and predict customer churn in a given dataset.
Building-Systems-with-the-ChatGPT-API-Short-Course
Level up your use of LLMs. Learn to break down complex tasks, automate workflows, chain LLM calls, and get better outputs.
Textovate
Welcome to Textovate - the ultimate Reactjs-based text transformation website. Our user-friendly platform allows users to quickly transform their text by converting it to uppercase or lowercase, extracting emails, copying text, removing spaces, and counting words, characters, and sentences.With a user-friendly preview area. try Textovate today!
gufhtugu_publications_books_web_scrape_python
Gufhtugu Publication Books Web Scraping Using Python , Requests & Beautiful Soup
indeed_jobs_web_scraping_python
Data Science Jobs Scrape Only in Pakistan from Indeed.com
Blog-Website-Using-Python-Flask-Bootstrap
Python-Flask-Course
Analysing-Ad-Budgets-for-different-media-channels
DESCRIPTION Problem: The given dataset contains ad budgets for different media channels and the corresponding ad sales of XYZ firm. Evaluate the dataset to: Find the features or media channels used by the firm Find the sales figures for each channel Create a model to predict the sales outcome Split as training and testing datasets for the model Calculate the Mean Square Error (MSE)
Analyse-NewYork-city-fire-department-Dataset-Pandas
DESCRIPTION What to: A dataset in CSV format is given for the Fire Department of New York City. Analyze the dataset to determine: The total number of fire department facilities in New York city The number of fire department facilities in each borough The facility names in Manhattan
Analyse-the-Federal-Aviation-Authority-Dataset-using-Pandas
DESCRIPTION Problem: Analyze the Federal Aviation Authority (FAA) dataset using Pandas to do the following: View aircraft make name state name aircraft model name text information flight phase event description type fatal flag 2. Clean the dataset and replace the fatal flag NaN with “No” 3. Find the aircraft types and their occurrences in the dataset 4. Remove all the observations where aircraft names are not available 5. Display the observations where fatal flag is “Yes”
Perform-CDF-and-PDF-using-Scipy
DESCRIPTION Problem: Use SciPy to declare 20 random values for random values and perform the following: 1. CDF – Cumulative Distribution Function for a random variable 10 2. PDF – Probability Density Function for a random variable 14.
Analyse-London-Olympics-Dataset-
DESCRIPTION Problem: Evaluate the dataset of the Summer Olympics, London 2012 to: Find and print the name of the country that won maximum gold medals, Find and print the countries who won more than 20 gold medals, Print the medal tally, Print each country name with the corresponding number of gold medals, and Print each country's name with the total number of medals won.
Analyse-GDP-of-Countries-Using-Numpy
DESCRIPTION Problem Statement: Evaluate the dataset containing the GDPs of different countries to: Find and print the name of the country with the highest GDP Find and print the name of the country with the lowest GDP Print out text and input values iteratively Print out the entire list of the countries with their GDPs Print the highest GDP value, lowest GDP value, mean GDP value, standardized GDP value, and the sum of all the GDPs
Solving-Linear-Algebra-problem-using-SciPy
DESCRIPTION Problem: Use SciPy to solve a linear algebra problem. There is a test with 30 questions worth 150 marks. The test has two types of questions: 1. True or false – carries 4 marks each 2. Multiple-choice – carries 9 marks each Find the number of true or false and multiple-choice questions.
Learn_Python_In_20_Days
Learn Python in 20 Days. Beginner to Advance Level Course.
Agriculture-Optimization-Predicting-model
This model predict the agriculture seed . In this this what we grow in our agriculture land.