一些常用的机器学习算法实现

• UpdatedApr 19, 2018
• Python

Karma of Humans is AI

• UpdatedMar 9, 2020
• Jupyter Notebook

Natural language processing on tweets

• UpdatedJul 24, 2023
• Python

Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.

• UpdatedAug 1, 2021
• Jupyter Notebook

An AI-powered dashboard to predict customer churn, visualize key factors, and help businesses reduce losses by retaining at-risk users.

• UpdatedAug 6, 2025
• Jupyter Notebook

The Water Quality Checker uses machine learning to analyze water quality parameters such as pH, solids, and conductivity, to determine if water is safe to drink. By inputting the values into the form, the model can predict if the water is fit for consumption or not.

• UpdatedMay 9, 2023
• Jupyter Notebook

Multi class and Binary Classification through Logistic Regression and SVM

• UpdatedMay 28, 2020
• Python

In this project I intend to predict customer churn on bank data.

• UpdatedSep 24, 2020
• Jupyter Notebook

SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier

• UpdatedOct 3, 2020
• Jupyter Notebook

It is a full stack ml app , compared multiple ml models(KNeighborsClassifier, LogisticRegression, RandomForestClassifier ) , later deploy the best model using flask , and the frontend is created with react.js

• UpdatedNov 24, 2024
• Jupyter Notebook

Machine learning model Visualizer in web using streamlit

• UpdatedSep 18, 2020
• Python

Predicting the churn of telecommunication custumers

• UpdatedJul 23, 2024
• Jupyter Notebook

Legal Taxonomy (https://taxonomy.legal/) Classifier on Reddit /r/legaladvice

• UpdatedJan 24, 2021
• Jupyter Notebook

This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.

• UpdatedMay 7, 2020
• MATLAB

Context: Customer behavior prediction to retain customers

• UpdatedMar 31, 2020
• HTML

Machine Learning Lecture Notes

• UpdatedSep 30, 2020
• Jupyter Notebook

Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process

• UpdatedApr 21, 2021
• R

• UpdatedAug 12, 2025
• Jupyter Notebook

Sentiment analysis of IMDB movie reviews using TF-IDF and Word2Vec embeddings. Compared Logistic Regression, Naive Bayes and Random Forest models. /// Анализ обзоров фильмов на IMDB с использованием векторных представлений TF-IDF и Word2Vec. Сравнение моделей логистической регрессии, наивного байесовского алгоритма и случайного леса.

• UpdatedJul 17, 2025
• Jupyter Notebook

This project involves the implementation of efficient and effective Logistic Regression (FROM SCRATCH) classifiers 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.

• UpdatedJan 8, 2018
• Jupyter Notebook