most of the code for the algorithms in scratch
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Updated
Jun 23, 2023 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
most of the code for the algorithms in scratch
I'm trying to rebuild the machine learning model from scratch
Introduction To Classification Algorithms in Machine Learning
🤖 This repository contains the codes written to build the primitive machine learning models from scratch 👨🏽💻
Car Price Prediction Machine Learning
This repository has the implementation of various Machine Learning algorithms by only using native Python with numpy
In this repository you can find the examples of Logistic Regression , K-NN, Decision Tree, Random Forest algorithms.
In this project, the best model is searched to predict a subscription plan for a telco's customers.
To detect whether the person will suffer from chronic kidney disease or not using Machine learning algorithm
To predict the probability of survival of people who embark on a journey in the Titanic ship. The dataset consists of important features which were to be learnt such as Passenger class, Age, Sugar condition, Physical Injury, etc.The target feature is to predict is the Survival probability whose value is either 1 (can survive) or 0 (cannot survive).
Implementation of some machine learning algorithms in Python.
Machine Learning with Python Libraries
Projects on Machine learning using classification and regression techniques
Machine Learning using K-Nearest Neighbors Algorithm
Machine Learning Project Decision Tree model
My implementation/completion of Udacity Machine Learning Course starter code
An implementation to a kernel based co-agreement algorithm
Training a single linear neuron using gradient descent. Program written in JavaScript/HTML.