Applied Machine Learning
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Updated
Jun 15, 2016 - Python
Applied Machine Learning
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
Code store for custom implementation of some machine learning algorithms from scratch.
Recommender System 2019 Challenge PoliMi
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Group elastic net implementation in PyTorch.
Objective: Predicting whether the customer will return or not in the next month. Techniques used: XGBoost, logistic regression, attention based LSTM neural network, self attention based transformer neural network
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
This is a simple webapp for wine quality prediction and involves MLOPs including DVC for model and data tracking and Github actions for CI-Cd workflows. The app is deployed on Heroku.
The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.
📈 Stock Price Prediction using ElasticNetCV | 🥈 Dacon Top 5%
Final project for the 2019 Colombia Data Science for All (DS4A) program.
an extension of signed sklearn.linear_model.ElasticNet
This is a project where i am learning to use MLFlow tool which is a good alternative to logging process and provides various methods and functionality which are demonstrated in this project.
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
This repository contains code for training an ElasticNet regression model using MLflow. The model predicts the quality of wine based on various features.
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