Some algorithms which uses neural networks to solve i.e., forwardpropagation , etc.,

This repository summarizes the basic concepts, types and usage scenarios of activation functions in deep learning.

A fully-functioning logistic regression model using only python and numpy.

A Mathematical Intuition behind Logistic Regression Algorithm

I have implemented some AI projects from scratch implementation without explicit use of the built-in-libraries and thus added to this repo.

Predict whether the cancer is benign or malignant using logistic regression model.

utility notebooks

Push features to OSM taked from satellite images.

Practice of implementing Multilayer Perceptron trained with Stochastic Gradient Descent for Seoul AI Meetup on June 25, 2017.

This is the code for "sigmoid binary classification without using and ML library" By M.Junaid Fiaz

유전알고리즘과 인공신경망을 활용허여 마리오 학습

Basic level implementation of Neural Network

Pyhton projects on various topics

This is an example machine learning programming using C++. I have created an example of Sigmoid function in C++.

SVMs are used for Classification as well as Regression problems. However, it is primarily used for Classification problems. #%% md # The Technique (Support Vector Machine) Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. However, primarily, i…