Predicting customer churn using a RandomForestClassifier with detailed EDA, model evaluation, and visualization. Includes a Tableau dashboard for interactive insights.
Fraudulent Credit Transaction detection system using SMOTE, Random Forest Classifier and Streamlit
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
Data science tools for exploration, visualization, and model iteration.
Quickly try out several ML models on a given dataset
A constantly updated python machine learning cheatsheet
Short machine learning project which analyses customer behaviour π
This project aims to predict customer churn using machine learning algorithms. The project includ...
Analyzing global data on sustainable energy, predicting CO2 emissions per capita
Repository to track Data Analysis done on various datasets available online
This project predicts students' final grades (G3) using machine learning based on their demograph...
Predicting real estate house prices using various machine learning algorithms, including data exp...
Robust credit risk model that go beyond traditional credit scoring methods in banks
In this project I have performed analysis and prediction on 1,3,and 5 year returns on 1064 mutual...
Π£ΡΠ΅Π±Π½ΡΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΡ ΠΈΠ· Π―Π½Π΄Π΅ΠΊΡ ΠΡΠ°ΠΊΡΠΈΠΊΡΠΌΠ° "Π‘ΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡ ΠΏΠΎ Data Science+"