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.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Toolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability.
Tutorial Series (60 hour course): Essentials of computer vision
List of interesting articles on different topics of machine learning and deep learning
Explore a curated selection of AI tools and resources
Streamline a data analysis process
Documentation for Deeplearning4j - Deep Learning for the JVM, Java & Scala
Stress classifier with AutoML
Teach you how to implement machine learning algorithms
Repository for the Data Science Professional Program from Harvard University on edX
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.
Crop Yield Prediction Web App Built using Sklearn and Laravel Web Framework
A spot for all the datasets you need.
Personal blog made using Hugo, PaperMod, Cloudinary & Forestry CMS. Use it as an Wordpress alternative!
Introduction to machine learning
Houses price prediction web app
Self-ChatGPT
This repository contains the source code for the Cab Fare Prediction Web Application. The application utilizes machine learning algorithms to predict cab fares based on various factors such as pickup location, drop location, time, date, no. of passengers etc.