JoannaBroniarek/Stocks_DataAnalysis JoannaBroniarek/Stocks_DataAnalysis

  • Stars
    star
    1
  • Language
    HTML
  • Created almost 6 years ago
  • Updated almost 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
JoannaBroniarek/Stocks_DataAnalysis
github

JoannaBroniarek

Reviews

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

Repository Details

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

More Repositories

1

House-Prices-Advanced-Regression-Techniques

This project consists in competing in the following Kaggle competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques
Jupyter Notebook
11
star
2

DCGAN-for-MRI-images

Tensorflow 2.0 implementation of DCGAN for 3D MRI
Jupyter Notebook
6
star
3

TowerGame

The implementation of the Tower Game. The aim of the project was to use various design patterns in Python.
Python
4
star
4

MLP-and-Generalized-RBF-Network

Pure NumPy implementation of Multi-layer perceptron and RBF network.
Python
3
star
5

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.
3
star
6

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.
HTML
1
star
7

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
1
star
8

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
1
star