Loan Approval Prediction

Evaluate Machine Learning Models with Yellowbrick

A real world data analysis and sentiment analysis using NLP and supervised classification machine learning model #4

Kaggle Competition Home Credit Default Risk

Advanced feature selection techniques for selecting the most optimal features for any machine learning models.

Increasing your Reddit karma. Help Reddit Moderators improve karma by autosubmitting posts to the correct subreddit. Reddiquette: Cross-post if it belongs to either or both subs?

This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python

Sample project of fraud detection using Machine-Learning algorithms and Mathematical tools (roc)

R | Classification Project

Design of classification model to predict customer churn rate.

Data analysis, visualization and prediction for the prevention of heart disease

This is a fake news classification project, using TFIDF and pre-trained w2v embedding as separate sets of features, along with text sentiment scores, to classify news text as fake or real.

Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.

This is a project demonstrating Logistic Regression method using Python. An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

This repo contains the assignments workload for the computer vision course in the MSc degree

This repository contains some of the machine learning projects I have done.

Предсказание сердечно-сосудистых заболеваний.

in this section will be numerical feature selection on diabetes dataset

На основании данных о поведении клиентов построить модель с максимально большим значением F1 для задачи классификации, которая будет определять клиентов, склонных к оттоку.

⭐ Kyivstar Big Data School 5.0 task of 2'nd stage of the selection