GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
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Updated
Jul 6, 2023 - 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
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Machine Learning Library, written in J
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.
Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera
Elixir library for machine learning
Karma of Humans is AI
A pure quantum knn classifier for a gated quantum computer.
#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity
Expert Advisor based on Falcon Template and kNN trading algorithm
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.
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.
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
Resolver Sudoku de genina.com
Machine Learning algorithms Implementation from Scratch
Premier Experience for Loyal eCommerce Customers
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