GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
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Updated
Nov 22, 2022 - Python
GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
Machine Learning Library, written in J
Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera
Elixir library for machine learning
This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.
Karma of Humans is AI
It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C. It is developed using ml5.js and p5.js.
Resolver Sudoku de genina.com
#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity
Diabetes Prediction is my weekend practice project. In this I used KNN Neighbors Classifier to trained model that is used to predict the positive or negative result. Given set of inputs are BMI(Body Mass Index),BP(Blood Pressure),Glucose Level,Insulin Level based on this features it predict whether you have diabetes or not.
Machine Learning algorithms Implementation from Scratch
Expert Advisor based on Falcon Template and kNN trading algorithm
A pure quantum knn classifier for a gated quantum computer.
My solutions for the USC course CSCI 567: Machine Learning
Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje d…
For Pancake Pridction, Try to use the machine learning algorithm KNN to predict it.
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