Linear Regression concepts and intuitions presented using Jupyter Notebooks

Implementation from scratch of linear regression compared with models from scikit-learn. Datasets used: https://archive.ics.uci.edu/ml/datasets/Combined+Cycle+Power+Plant, https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset.

My Logistic Regression Algorithm with Regularization

Univariate model that predicts employee salary based on their years of experiences, using gradient descent

This repo stores my deeping learning notebook, code and useful resource from Internet.

This repository features a Python K-Nearest Neighbors (KNN) implementation from scratch, with an explanatory notebook. See KNN in action on the Iris dataset and explore data visually in a dedicated notebook. A hands-on guide to understanding and applying KNN!

In this notebook, we want to create a machine learning model from scratch to predict car prices using independent variables.

Building a Learning Vector Quantization 1 (LVQ1) network

Collection of notebooks containing NumPy implementations of the most common supervised machine learning techniques - from a simple Perceptron up to a Neural Network

In this notebook, we want to create a machine learning model to accurately predict whether patients have a database of diabetes or not.