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Discussing AI software development, and showing off what we're building.
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Discussing the core forem open source software project — features, bugs, performance, self-hosting.
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A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here
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Don't focus on me, Focus on my work..!
Cab_Fare_Prediction
A machine learning project for predicting cab fares based on various features like pickup and drop-off locations, distance, time of day, passenger count, and other relevant factors. This repository contains data preprocessing, exploratory data analysis (EDA), feature engineering, model training, evaluation, and deployment strategies.
Jupyter Notebook • 1 star
Facial_Recognition_Model
A Face Recognition Model detects, extracts, and classifies faces using OpenCV for face detection, deep learning models like FaceNet or Dlib for feature extraction, and classifiers like SVM or KNN for matching. It's used in security, identity verification, and attendance systems, ensuring efficient and accurate face recognition.
Jupyter Notebook
SIMULATION-AND-ANALYSIS-OF-SPECTRUM-SENSING-IN-COGNITIVE-RADIO
This project enhances Cognitive Radio (CR) using Double Threshold Cooperative Spectrum Sensing (CSS) for better spectrum utilization. It improves detection accuracy in low SNR by combining local sensing data at a Fusion Center (FC). Simulated in MATLAB & SIMULINK, it optimizes bandwidth allocation and wireless communication efficiency.
MATLAB • 3 stars
wells-fargo-task-2
Contains the project scaffold for task 2 of the Wells Fargo Software Development Forage program
Fork Java
Amazon.com-Project
JavaScript • 1 star
forage-midas
Project repo for the JPMC Advanced Software Engineering Forage program
Fork
Game-Of-15
Game of 15 is a puzzle where the goal is to arrange digits so that any row, column, or diagonal sums to 15.
Java • 1 star
My-Portfolio
HTML • 1 star
Narendra-Portfolio
Narendra_Resume
Portfolio
HTML
SkillSet
World_Happiness_-2022-2024-
This project is my first data analysis, which is centered around the use of Pearsons r, and r squared, to find correlations in Happniness scores accross many Countries.
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