This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.

🦠 Breast cancer survival prediction (notebook + streamlit)

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

Bunch of notebooks collection from Kaggle competitions.

This repository contains all the notebooks, resources, and documentation used to develop and evaluate models for the Automated Essay Scoring (AES) Kaggle competition. The project aims to build an open-source solution for automated essay evaluation to support educators and provide timely feedback to students.

Kaggle Kernels (Python, R, Jupyter Notebooks)

Cambridge UK temperature forecast python notebooks

Python Scripts and Jupyter Notebooks

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Comparison of methods for predicting electricity consumption of a large non-residential building.

Our team's work during the Dataverse 2.0 competition that was hosted by ENSA Khouribga during the 20th and 21st of November 2023.

Repository for the Capstone Project of the MBD-PT January 2022. This repository contains several notebooks performing detailed analysis of the data, identification of Market Drivers, segmentation of stores, predictions of future sales and design of appropriate promotional strategies to extract the most value upon Beer sales in Spain

The notebook shows how machine learning tools and algorithms (scikit-learn, XGBoost, LightGBM) work in practice.

Machine Learning Notebooks

Notebooks for training the classifier of YASA sleep staging

The complete code and notebooks used for the ACM Recommender Systems Challenge 2021 by our team Trial&Error at Politecnico di Milano

Notebooks exploring strengths and weaknesses of GBM based classifiers

预测rossmann1115家商店未来的销售额