Projekt transformacja, czyli matrix - poznaj reguły gry

Final project for UIUC statistical learning course

This project is part of the Udacity Capstone Challenge and the given data set contains simulated data that mimics customer behaviour on the Starbucks rewards mobile app. Once every few days, Starbucks sends out an offer to users of the mobile app. An offer can be merely an advertisement for a drink or an actual offer such as a discount or BOGO (…

Code used in my master's dissertation project centring around the evaluation of various novel optimisation methods used in machine learning.

Superstore Time Series Data Analysis and its prediction for next 4 years using ARIMA model.

Kaggle Competition BNP Pairbas Cardif Claims Management: Rank 133 out of 2,926

This repo contains a series of PPT on neural networks.

Projekt transformacja czyli Matrix

This repo contains the implementation of three algorithms Decision Tree, Naive-Bays, and K-Means for three distinct applications

Code for the Kaggle Challenge "CAFA 5 Protein Function Prediction"

Projekt transformacja

Analysis the raw data captured through a survey for the most frequent food items consumed during Covid

Classify digital ad data from different sources.

Carsify is an end to end Machine learning deployed site, which uses certain features to predict the price of the car.

Cardiovascular disease (CVD) encompasses heart and blood vessel conditions, leading global cause of mortality. Prevention through lifestyle changes crucial.

How to build a custom GPT for text generation, based on TensorFlow 2.x and Maximal. Trained on the Shakespeare corpus.

Ghumkkad AI is a sophisticated travel recommendation system comprising three distinct engines for hotels, attractions, and restaurants. It generates trip itinerary with all the details, It empowers users to input their preferences, including destination, hotel features, attraction specifics, and restaurant details.

A summary of the core concepts of deep learning along with some working implementation examples.