This project classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects.
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Updated
Apr 14, 2018 - Jupyter Notebook
This project classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects.
This project uses a neural network to classify the sentiment of a review as positive or negative
This project is a simplified version of TensorFlow, which uses a neural network to predict the price of homes in the Boston area
Library for one-dimensional data classification and simple statistics in Rust
Классы для статистической обработки данных.
📊 数据挖掘常用算法:关联分析Apriori算法,数据分类决策树算法,数据聚类K-means算法
Old ML Project - Create adversarial images to fool a MNIST classifier using TensorFlow.
displaying perceptron algorithm to its core
BackordersPredcition
Two differrent approach to predict Churn customers and finding out important variables that drives churn
The model predicts for the next month credit card defaulter based on demographic and last six months behavioral data
Neural Network Deep learning specialization course offered via Coursera
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
GenClass: A portable tool for data classification based on Grammatical Evolution
SAWO-NN
Scan directories, exports, and backups for sensitive data (like PII and API keys) with Nightfall's data loss prevention (DLP) APIs. Discover what lives at-rest in your data silos.
In this case study, a decision tree is build to predict the income of a given population, which is labelled as <= 50𝐾𝑎𝑛𝑑> 50K on the basis of various attributes (predictors) like age, working class type, marital status, gender, race etc.
ELT (Extract, Load, Transform) process of accelerometer/gyroscope events with Apache Spark (w/ Structured Streaming) and TimescaleDB
Given the name of a property or attribute like 'BrandName' or 'AmountReceived', try to predict a data type like String, Boolean, Integer...
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