试题分类 学习sklearn的练手项目
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Updated
Sep 23, 2016 - Python
试题分类 学习sklearn的练手项目
The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.
This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Open source malware detection program using machine learning algorithms on system call traces.
Implementing Logistic Regression to predict results and using the sklearn library from SVM to perform classification
Práctica de la asignatura Inteligencia de Negocio de cuarto curso de Ingeniería Informática.
Regression and Classification task with sklearn.
🏎️ Vehicle Detection Project using OpenCV and scikit-learn for the Self-Driving Car Nanodegree at Udacity
Language processing for better query answering
TP final de la materia 7550 - Introduccion a los sistemas inteligentes
we use keras and tensorflow and sklearn to classify health level of student by using Nursey UCI Dataset
Loan Prediction Problem Analysis
A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.
Amazon customer reviews, star ratings, date of review, variant and feedback of various amazon Alexa products like Alexa Echo, Echo dots
Aim was to classify the provided data with different classifiers and compare their performance. 17 different classifiers were employed and their results are documented in a Jupyter notebook
文本分类,评论分类,朴素贝叶斯多分类,酒店评论分类
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