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api_datafetching_js

Fetches questions from a public API and renders them on the page using JavaScript. The game allows you to select answers and keeps track of your score. The project utilizes async/await for retrieving data from the API and DOM manipulation for rendering questions and answers.

chatsphere

ChatSphere setup streamlines communication, as clients can send real-time messages between each other, facilitated by the central server. Python's Socket programming offers a seamless and dependable connection, guaranteeing that messages are transmitted efficiently and without errors.

cryptoguard

Trade Guard is a Python program that monitors real-time price updates for a given trading pair on a specified exchange and triggers notifications when the price reaches a certain threshold.

decisiontreeclassifier-analysis

This repository showcases an analysis using the Decision Tree Classifier algorithm on a banking dataset. The goal is to predict whether a customer will subscribe to a term deposit, which is a common classification problem in the banking sector. The analysis involves data preprocessing, training a decision tree model, and evaluating its performance.

econopredict

The core of EconoPredict lies in its ability to analyze historical data and calculate potential price drops and rises. It’s not just about prediction, it’s about providing a comprehensive understanding of the stock market dynamics.

engine-x

Engine X stands as a beacon of innovation, seamlessly fusing FastAPI and WebSocket to deliver an immersive and visually enriching search experience. Engine X integrates FastAPI, BeautifulSoup, and WebSocket technologies to revolutionize the user experience.

exploitation

The Metasploit Exploitation - EternalBlue SMB Exploit module within the Metasploit framework enables security professionals and researchers to test the vulnerability and assess its impact on target systems. This module can also be used to develop custom payloads and exploit techniques for further research and analysis.

facialrecognition

This facial recognition project is designed to train a model on a set of labeled images and then use the model to recognize and identify faces in real-time through a webcam feed.

google_gemini

Integration of Google's Gemini API with a FastAPI backend interface facilitates seamless interaction with a generative AI model.

googlefinance

A concise blueprint for developers seeking a professional and secure approach to web scraping integration with FastAPI, emphasizing both efficiency and user experience. Whether used as a reference or a launchpad for financial web applications, this codebase sets a high standard for modern API integrations and authentication workflows.

heart_disease_predictive-model

Heart disease prediction model is designed to learn from a dataset of historical medical records and diagnoses to accurately predict the presence of heart disease in an individual.

itfinalproject

A generic static blockchain website, clear clone of OpenSea website, no backend just frontend work done

linkedin_analysis

Data cleaning and preprocessing are essential steps in the data analysis and machine learning pipeline. They involve the process of identifying and correcting errors, inconsistencies, and missing values in the raw data to ensure its accuracy and suitability for analysis and modeling.

model_diagnostics

The statistical outputs, including coefficients, p-values, and R-squared values for each regression. These values can help you interpret the relationships between marketing efforts and sales. The scatter plots visually depict the data and the fitted regression lines, aiding in understanding the linear relationships between the variables.

multinomialnb

This repository contains a machine learning project focused on the detection of spam messages using the Naive Bayes algorithm. By employing statistical techniques and natural language processing (NLP), we build and evaluate a model capable of classifying text data as spam or not spam.

nba

NBA statistics, extracting meaningful insights from historical game data to uncover patterns, trends, and correlations that can shed light on the factors contributing to team success and individual player performance.

newyork-airbnb

The New York Airbnb dataset contains valuable information on thousands of listings in the city, but before it can be analyzed, it must be properly cleaned and prepared. Cleaning Data, Once the data is cleaned, it is transformed into a usable format for providing valuable insights into the city's housing market and the use of Airbnb.

oauth

Illustrating the meticulous implementation of OAuth security measures within the configuration of an API endpoint, thereby exemplifying a comprehensive and robust framework designed to safeguard sensitive information and ensure secure access to the designated resources.

populatednationanalysis

This project conducts a detailed examination of global population data. The aim is to uncover insights into the distribution of population densities across countries and identify any significant trends over time.

portfoliowebsite

predictive_analysis_model

Predicting the price of a Context based on its features using a machine learning model

pycalc

Python's built-in mathematical functions and libraries make it easy to create a calculator that can handle a wide range of mathematical calculations. By using a user-friendly interface, PyCal can make mathematical calculations faster and more accurate.

reactfusion

API integration with ReactJS involves connecting a ReactJS application to an external API to retrieve and display data dynamically. This process enables developers to create interactive and data-driven web applications that fetch and present real-time information from external sources.

sentiment_analysis

The script utilizes the popular scikit-learn library for machine learning and NLP tasks. It demonstrates how to preprocess textual data, vectorize it using Term Frequency-Inverse Document Frequency (TF-IDF) representation, train a Linear Support Vector Machine classifier, and make predictions on new user input.

stockswift

StockSwift is a sophisticated web application meticulously crafted to empower investors with real-time stock market insights and visualize historical price trends for the most prominent companies shaping the financial landscape.

titaniceda

This repository contains an exploratory data analysis (EDA) of the Titanic dataset, which is one of the most popular datasets used for data science and machine learning. The Titanic dataset provides information on the fate of passengers on the Titanic, summarized according to economic status (class), sex, age, and survival.

twitter-sentiment-analysis

This repository presents a comprehensive analysis of Twitter data to gauge public sentiment. Utilizing the VADER (Valence Aware Dictionary and sEntiment Reasoner) lexicon within the NLTK (Natural Language Toolkit) library, we analyze tweets to determine the general sentiment (positive, negative, or neutral) expressed in the text.

wikyspyder

WikySpyder enables users to search for information on Wikipedia through a user-friendly interface. The application harnesses the power of Requests and Beautiful Soup libraries to retrieve information from Wikipedia and display it in a structured and organized manner.