Type: User
Location: Warsaw
Ā
a-new-coefficient-of-correlation
Demonstrating and testing a new approach for quantifying and identifying correlation.
abalone-age-prediction-classification-or-regression-task-improving-model-performance
The age of an abalone can be estimated by cutting its shell, staining it, and counting the number of rings in the shell through a microscope. However, this process is time-consuming, boring, and can cause death to the creature. Therefore, it is necessary to find another non-collision method for age estimation. Other physical measurements, which are easier to collect, can be used to determine the age. The subject of this notebook was to estimate the number of rings based on other independent features: either as a continuous value or as a classification problem. The task was completed successfully and we built our predictive models. With this dataset we are able to perform both regression and classification. We developed two supervised machine learning algorithms with scikit-learn library: polynomial regression and k-nearest neighbors. We also looked up for some techniques to tune up and improve their performance.
alzheimer-s-disease-classification
A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.
asteroid-impacts
This notebook aims to explore, summarize, and visualize potential future Earth collision events.
breast-cancer-classifying
Identifying and assigning breast cancer diagnosis using machine learning methods, based on observations in WDBC dataset. All classifiers have been evaluated and performed well for this task.
choropleths
Thematic maps plotted in Python.
detecting-outliers-in-a-dataset
An example of improving data quality and identifying anomalies within a real-life dataset for master data management or data engineering.
detecting-panic-disorder
Panic disorder detecting using machine learning techniques.
diamond-price-modelling-based-on-their-attributes
The purpose of this notebook is to develop an automated function to predict the price of a diamond based on its given features (cut, color, dimensions, etc.). We will create a machine learning model which can estimate these values. We need to find continuous data, so we will perform a regression task. We will use supervised learning to find the prices.
forecasting-inflation-rates-of-poland
Recently inflation is a popular topic in Poland and is highest since 2001. Experts presume inflation in Poland should continue to rise, and by the end of 2021 it will be close to 8%. This notebook aims to develop a forecasting model for time series using Python.
geoid-undulation-in-carpathians
This repository aims to determine a local geoid model for Carpathian Mountains based on the known topographic height and assessing the precision performance of the Earth gravitational model (EGM2008) in the area of interest. The topographical points used in this task were received during the Topex satellite altimeter mission. Ellipsoidal heights were then converted into orthometric and geoid elevations with UNAVCO online notebook. Carpathians local geoid was visualized with a map. We also developed a function to model geoids prime profiles.
heart-failure-prediction
The subject of this repository was to perform binary classification based on respondent's collected features (age, cholesterol level, fasting blood sugar, thallium stress test results, etc.).
linear-regression-with-tensorflow
Linear and polynomial regression solutions made from scratch using TensorFlow framework.
meteorite-landings
Basic data analysis focused mainly on visualizing geospatial data worldwide with cartopy.
msikorski93
Config files for my GitHub profile.
persian-digits-lenet-5
Image recognition on Persian digits with LeNet-5 neural network.
pneumonia-recognition-with-deep-learning-and-tensorflow
A binary classification using Convolution Neural Network (CNN, or ConvNet) model.
predicting-cryptocurrency-stock-prices-using-facebooks-prophet
Crytpocurrencies are lately very trendy and a big subject to investment. Stock market prediction is the act of trying to determine the future value of an other financial instrument or company stock traded on a financial exchange. Time series predicting is one of most demanding object in machine learning on today's market.
predicting-prices-on-king-county-housing-dataset
Predicting house prices using different regression analysis models.
product-recommendation-engine-based-on-visual-similarity
Deep learning image recognition based on visual similarity for e-commerce.
protein-tertiary-structure
Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).
python-maps
This repository contains thematic maps generated in Python.
rapid-model-review-for-product-master-data-management
To save the work time and accelerate as possible model analysis of the MDM team, a script was written for this task in Python. The verification was based on the analysis of the presence of characteristics in these models. We successfully performed this task on a sample dataset with 15 models and none of them are repeated.
seed-clustering
Performing basic clustering on a seeds dataset.
sentiment-analysis-on-amazon-reviews
A basic NLP project on musical instruments reviews on Amazon.
spam-detection-with-lstm-polish
Detecting spam (a typical binary classification problem) on Polish emails.
sql-exercises
Solutions to tasks and exercises from different websites
stock-price-forecasting-with-exogenous-variables
Time series forecasting (close prices) with different estimators.
ukraine-choropleth
This short repository contains a geospatial data visualization of percentage of people with Ukrainian as their native (or first) language according to 2001 census. A customized choropleth was developed with folium library. The map is interactive and allows the user do basic actions: zoom in-out, choose layers, display tooltips. The choropleth was saved to HTML file and is available for downloading.
us-baby-names
Exploratory data analysis for US baby names dataset with SQL
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
