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Climate is the average weather where the weather is the state of the atmosphere at a certain point in time. Climate is defined as a measure of the average and the variability of the relevant quantities of certain variables (such as temperature, precipitation, or wind), over a period of time…

List of Content:

— 1. Get User LookUp
— 2. Get User Time Line
— 3. Get Favorites
— 4. Get Followers
— 5. Get Following/Friend
— 1. Get Post LookUp
— 2. Get User Retweeted…


Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. event streaming is the practice of capturing data in real-time from event sources like databases, sensors, mobile devices, cloud services, and software applications

The characteristics

Implementation Quantum in Neural Network

Photo by Adi Goldstein on Unsplash


Quantum computing has the potential to outperform classical computers and is expected to play an active role in various fields, in quantum machine learning, quantum computing has been found to be useful for enhanced feature representation and state approximation (Watabe et al. 2021). Quantum computing…

Spatial data refers to all types of data objects or elements that are present in a geographical space or horizon. It enables the global finding and locating of individuals or devices anywhere in the world.

Spatial data is used in geographical information systems (GIS) and other geolocation or positioning services…

Twitter is a free social networking microblogging service that allows registered members to broadcast short posts called tweets. Twitter members can broadcast tweets and follow other users' tweets by user multiple platforms and devices. You can access Twitter via the web or your mobile device. …

Definition Ridge Regression

Ridge Regression is a technique for analyzing multiple regression data that suffer from multicollinearity, The particular kind used by ridge regression is known as L2 regularization . In ridge regression, the penalty is the sum of the squares of the coefficients. L2 Regularization aka Ridge Regularization —…

K nearest neighbors is a simple algorithm that stores all available cases and predict the numerical target based on a similarity measure (e.g., distance functions). KNN has been used in statistical estimation and pattern recognition already in the beginning of 1970’s as a non-parametric technique. Algorithm A simple implementation of…

Algoritma K-Nearest Neighbors secara simple adalah mengelompokan data baru berdasarkan jarak data itu dengan tetangganya. data baru akan terkelompokan berdasarkan tetangga-tetangga terdekatnya. algoritma k-Nearest Neighbors terbagi menjadi dua yaitu k-Neighbors classification dan k-Neighbors Regressor, pada kali ini kita akan membahas k-Neighbors classification yaitu mengklasifikasikan menggunakan algortima k-Nearest Neighbors.sebagai contoh:


Imam Muhajir

Data Scientist at KECILIN.ID || Physicist ||Writer about Data Analysis, Big Data, Machine Learning, and AI. Linkedln:

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