AI-assisted Sudoku Solver
In this AI-assisted Sudoku Solver, algorithm is able to detect and to directly solve AI sudokus in VR. Grids Extraction Firstly, the algorithm have to find where the grids are …
AI-assisted Sudoku Solver Read More >>LATEST AI PROJECTS
GESTURE CONTROLLED GAMING
In order to use this code you just have to run the hand_track.py file, after that keep your hand in position in front of camera it will capture the frame …
GESTURE CONTROLLED GAMING Read More >>
ZOOM MEETING WITH ALBERT EINSTEIN
Zoom meeting with Albert Einstein is strictly based on the 100DaysOfCode Log by Dashiell Bark-Huss. It is a cool project with deep learning, deepfakes, using Avatarify. avatarify is an open-source …
ZOOM MEETING WITH ALBERT EINSTEIN Read More >>
RANDOM FOREST FROM SCRATCH PYTHON
As the name suggests, the Random forest is a “forest” of trees! i.e Decision Trees. A random forest is a tree-based machine learning algorithm that randomly selects specific features to build multiple decision trees. The random forest then combines the output of individual decision trees to generate the final output. Now, let’s start our today’s topic on random forest from scratch.
RANDOM FOREST FROM SCRATCH PYTHON Read More >>
NAIVE BAYES ALGORITHM FROM SCRATCH
LOGISTIC REGRESSION Decision Tree In our previous Machine Learning From Scratch series, we have covered Linear Regression and Logistic Regression. Today, we will be covering all details about Naive Bayes …
NAIVE BAYES ALGORITHM FROM SCRATCH Read More >>
LOGISTIC REGRESSION FROM SCRATCH
LINEAR REGRESSION Naive Bayes Welcome to the new machine learning from scratch tutorial. In today’s tutorial, we are going to cover Logistic Regression from scratch. First of all, we would …
LOGISTIC REGRESSION FROM SCRATCH Read More >>
LINEAR REGRESSION FROM SCRATCH
We will build a linear regression model to predict the salary of a person on the basis of years of experience from scratch. You can download the dataset from the link given below. Let’s start with importing required libraries:
LINEAR REGRESSION FROM SCRATCH Read More >>
GAN IMPLEMENTATION ON MNIST DATASET PyTorch
In this tutorial we’ll be building a generative adversarial network (GAN) trained on the MNIST dataset.The purpose of this tutorial is to learn how to create undistinguishable images of hand-written digits using GAN. Let’s start from the beginning by importing all the required libraries and by defining some hyper-parameters which is later used.
GAN IMPLEMENTATION ON MNIST DATASET PyTorch Read More >>