sklearn-classify
There are 86 repositories under sklearn-classify topic.
HuangCongQing/AI_competitions
AI比赛相关信息汇总
luopeixiang/textclf
TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。
RaczeQ/scikit-learn-C4.5-tree-classifier
A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.
abdullahselek/spampy
Spam filtering module with Machine Learning using SVM (Support Vector Machines).
NtMalDetect/NtMalDetect
Open source malware detection program using machine learning algorithms on system call traces.
butlerwilson/review
文本分类，评论分类，朴素贝叶斯多分类，酒店评论分类
saidsef/ml-classifier
Classify news articles into different categories using Machine Learning
meuwebsite/Stat-gram--InstagramMicroservice
Stat-gram is microservice tool for Business and Influencers on Instagram platform that uses AI to help with Marketing and Management.
Sarbjyotsingh/Gender-Classification-with-Python
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.
UtsavMurarka/MXene-machine-learning
Classification of MXenes into metals and non-metals based on physical properties
beccadsouza/Robotic-Vision-Object-Classification
Cat vs Dog Classification using SVM and KNN Classifiers from the Sklearn Library
jsondevers/heart-attacks
Heart Disease Analysis
aaryadevg/Metro_PdM_Research
Failure prediction for APU’s on a Metro System Research project source code
ibodumas/linearSVM
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.
Leci37/ML-Sklearn-strategy-stock-crypto-for-TraderView
Obtain N trading strategies with technical patterns with Random Forest python (or other sklearn tools), one strategy per action, be able to generate N strategies for each action,
MatteoM95/Twitter-Sentiment-Analisys
Sentiment analysis of a Tweets dataset by using machine learning algorithm. Datascience Final Project Jan 2022
morpheusthewhite/ml-challenge-multiclass
A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course
PierreMegret/sentiment-analysis-sppmi-svd
Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD
Elijas/movie-review-sentiment-polarity-classifier
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
ITrustNumbers/A_Classification_Model_To_Predict_Blight_Compliance
A Binary Classification Problem Optimized For AU-ROC Curve,. From Data Cleaning to Model Validation, Classifying whether a blight ticket will be paid in time or not, Trained 3 different Classifier on a Highly imbalanced Data provided by Detroit Open Data Portal with around 160000 Tickets.
PiyushBadhe/Car-Price-Prediction-ML
Simple Classification ML Algorithm
Prem07a/Credit-Score-Classification
This is ML project which is based on Classification of Credit Score
Sarthak-1408/Water-Potability
In this repo, I am doing data analysis in water potability and check each and every classification model's accuracy.
theAayushbajaj/LoanPrediction_Analysis
Loan Prediction Problem Analysis
adamparkosidis/NLP-Yelp-Reviews
Natural Language Processing model to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews
Ahmed-AI-01/NLP
this repo will include all my work regarding NLP
DARK-art108/Introduction-to-ml-Piplines-and-Params-tuning-using-Pipeline-and-GridSearchCV
Hyperparameter tuning using Sklearn Pipelines
dteuscher1/Project426
A collaborative data science project done in Python analyzing the impact of hustle stats on the outcomes of NBA games. Overall, a logistic model proved best at determining game outcome. This project is for the Stat 426 class at Brigham Young University.
FitAdam/Random-Search-Optimisation-and-Meta-Learning
The optimization of Artificial Neural Networks (ANNs)
LaurentVeyssier/Udacity-Predict-Customer-Churn-with-Clean-Code
Udacity project#1 machine Learning DevOps Engineer Nano degree
rozanecm/7550_tpFinal
TP final de la materia 7550 - Introduccion a los sistemas inteligentes
SandeshGhi/RatingBot-Natural-Languauge-Programming-
NLP using Python, Sklearn, Decision Tree on Jupyter NoteBook
sergio11/breast_cancer_diagnosis_mlp
🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖
vaitybharati/Classification_Case_study
Classification Project: Sonar rocks or mines
Yara-Alotaibi/Analyzing-Students-Performance
This is our seventh-level machine learning project, which analyze the students performance. The project started and ended at 2019.