Classify news articles into different categories using Machine Learning

Predict Creditworthiness: Determine if a customer meets the credit underwriting criteria of LendingClub.com.

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,

expression sequence machine learning application

This is ML project which is based on Classification of Credit Score

Sentiment analysis using ML classifiers for text data.

🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖

Using the XGBClassifier from sklearn to predict whether or not patients have Parkinson's. Model is trained and tested on the UCI ML Parkinson's dataset.

this repo will include all my work regarding NLP

My project storage in Machine Learning

Conducting geodemographic classification for ethnic groups in NYC using K-means algorithm available in sklearn.cluster module.

This program makes personalized shopping recommendations based on user input criteria. It uses a machine learning model trained on shopping trends data to predict what product a user is most likely to purchase along with a recommended color.

Sales and pricing data that is subject to noise and skewness are managed with difficulty thanks to the Copper Industry Sales and Leads Prediction Project. In the industry, manual forecasts can be inaccurate and time-consuming. The creation of machine learning models is the main goal of this project in order to overcome these obstacles.

Failure prediction for APU’s on a Metro System Research project source code

Classificação de Distúrbios de Sono usando Machine-Learning Python

KMeans Clustering of data using Sklearn library, numpy and Pickle data

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。

Simple Classification ML Algorithm

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