JoannaBroniarek/House-Prices-Advanced-Regression-Techniques

Stars
11
Rank 1,694,829 (Top 34 %)
Language
Jupyter Notebook
Created almost 6 years ago
Updated almost 6 years ago

JoannaBroniarek/House-Prices-Advanced-Regression-Techniques

JoannaBroniarek

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

This project consists in competing in the following Kaggle competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

DCGAN-for-MRI-images

Tensorflow 2.0 implementation of DCGAN for 3D MRI

Jupyter Notebook

TowerGame

The implementation of the Tower Game. The aim of the project was to use various design patterns in Python.

MLP-and-Generalized-RBF-Network

Pure NumPy implementation of Multi-layer perceptron and RBF network.

Walking-Pattern-Recognition

The main goal of this project was to provide an analysis of classification results in recognizing people according to their walking pattern.

Data-Analysis-NewYorkTaxi

The analysis of Taxis in NYC in 2018. The aim was to answer to some specific research questions (RQs) that may help Taxi drivers in planning their movements throughout the city and the Taxi's users to have hints about the convenience of enjoying this service.

Stocks_DataAnalysis

Study the dependency among stocks via marginal correlation graphs. Verifying hypothesis that stocks from the same GICS sectors should tend to be clustered together.

NLP-Data-Analysis-AirBnb

Analyzing the text of Airbnb property listings and building two different Search Engines that, given as input a query, return the houses that match the query.

Jupyter Notebook

Titanic-Survivors---Machine-Learning

The Titanic Dataset Analysis from Kaggle and the implementation of several machine learning algorithms like SVM, Random Forest, Linear Regression, XGBoost to predict who survived.

Jupyter Notebook