My Machine Learning First Project on Github

Using a credit-risk data-set to predict whether a person would repay a loan based on his anonymous account features.

predicting the specie of iris flower using random forest algorithm

Second year research project: Tree presence classification using ML models

Predicting survival of passengers for titanic dataset using RF and a NN

Based on the powerful econometrics and statistical background and rich data science resources of School of Economics (SOE) and Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, WISER CLUB is a data science mutual aid learning organization jointly organized by SOE and WISE graduate students and undergraduate students.

Machine Learning Python Project to derive useful insights from titanic Dataset

Sınfılandırma Uygulaması - Kredi Kartı Sahtekarlık Tespiti

I Have used the Random Forest Classifier model in this project and have achieved a testing accuracy of 97.9%.

Repository contains Vehicle Loan Default Prediction of L&T which involved EDA, Statistical Analysis and Model Building

Applying Random Forest to the MNIST handwritten digits dataset

In this project, I have built a classifier to predict the survival of a person on the historical Titanic ship. I've loaded the data from Kaggle, cleaned the data, and applied different classification algorithm on the data. Obtained the Best classifier using Stratified Cross Validation.

Bipolar Factory internship Assessment

Demystify Cuisine and Culture From Ingredients using Natural Language Processing and Machine Learning | Python, Pandas, Matplotlib, NLTK, scikit-learn, webscraping, Python Flask-powered API backed by PostgreSQL, Front-end with HTML, CSS, and Javascript

This is a binary classification model that predicts whether a flight will arrive on-time(1) or late(0). It uses one Scikit-learn's Random Forest Classifier,

Simple ML models to understand and practice the basic ML concepts

✈ Write simple Machine Learning model to predict trip destination

Predict employee attrition using LogisticRegression and RandomForestClassifier.

Analysis the cardio dataset and predict the accuracy that the person have heart disease or not