akshaybaj

akshaybaj

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akshaybaj's repositories

ML_GUI

This repo contains the code for a GUI which can be used for training different ML models as well as for data visualisation

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Competitive-Coding

Practice is the best solution.

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Competitive-Programmming

Questions solved from Various Coding websites viz. HackerRank, HackerEarth, CodeChef, CodingNinja and other websites. This repository also contains Questions from various offline and onsite competitions. Programs that we find in the competitions and some brainstorming questions

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cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

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Data-Structures-Algorithms

A one stop solution to ace your next coding interview 👨‍💻

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HandRecognition

Machine Learning example project using images of hand gestures.

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GeeksForGeeks_DSA_Course_Solutions

💻 My solutions to the course problems and other related problems. Blog: www.thecoducer.com

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Interview-Process-Coding-Questions

Interview Coding Questions for Several Companies encapsulated into one Repository

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InterviewRoom

Contains all important data structure and algorithms problems asked in interviews

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intro-to-dl

Resources for "Introduction to Deep Learning" course.

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machine-learning-notes

This contains my machine learning notes in latex form

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Machine_Learning_Course

This repo contains all the assignments of the SHALA -2020 course for machine learning anda data science.

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shala2020.github.io

Lectures and notes for a summer course on DS, ML, and AI

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Stone_Paper_Scissors

This project is built using keras and cv2. The aim is to make a game of stone paper scissors , where the player can make the gesture of stone,paper or scissors in his laptop webcam , which gets recognised and computer also randomly generates one of the three options to play the game

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tsks14_multiple_antenna_communications

This repository contains the slides (in Powerpoint and PDF formats) for the course TSKS14 Multiple Antenna Communications. Video recordings of all the slides (with voice over by Emil Björnson) can be found on YouTube.

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