msikorski93's repositories
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.
Stock-Price-Forecasting-With-Exogenous-Variables
Time series forecasting (close prices) with different estimators.
Dental-Anatomy-Detection-With-YOLO11
An object detection task completed with YOLO11n (nano) network for dental application.
Pneumonia-Recognition-With-Deep-Learning-and-TensorFlow
A binary classification using Convolution Neural Network (CNN, or ConvNet) model.
Sentiment-Analysis-on-Amazon-Reviews
A basic NLP project on musical instruments reviews on Amazon.
Breast-Cancer-Ultrasound-Image-Segmentation-With-Attention-U-Net
An image segmentation problem completed with Attention U-Net network on breast ultrasound images.
Visualizing-Earths-Climate-Change
Visualizing worldwide climate change with cartopy and xarray.
A-New-Coefficient-of-Correlation
Demonstrating and testing a new approach for quantifying and identifying correlation.
Alzheimer-s-Disease-Classification
A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.
Spam-Detection-With-LSTM-Polish
Detecting spam (a typical binary classification problem) on Polish emails.
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.
Abalone-Dataset
Estimating abalone rings (age) based on their physical characteristics, such as gender, length, height, diameter, weight, etc.
Credit-Card-Fraud-Detection
A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.
Detecting-Panic-Disorder
Panic disorder detecting using machine learning techniques.
Flood-Detection-Using-Satellite-Imagery
A simple approach of detecting flooded areas in the Bombetoka Bay (Madagascar) based on Landsat 8 images.
Hybrid-Time-Series-Modeling
Time series prediction with hybridization approachs, combining LSTM and XGBoost.
LCLU-Classification-With-Machine-Learning
A land cover classification task performed with machine learning modelling on Sentinel-2 data for Gibraltar.
Linear-Regression-From-Scratch
Different solutions of linear and polynomial regression made from scratch.
Logistic-Regression-Classifier-From-Scratch
Logistic regression created in Python for binary classification.
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-Scikit-Learn
Image recognition on Persian handwritten digits with LeNet-5 neural network and scikit-learn models.
Predicting-Prices-on-King-County-Housing-Dataset
Predicting house prices using different regression analysis models.
Python-Maps
This repository contains thematic maps generated in Python.
Retinal-Vessel-Segmentation-Using-Deep-Learning
Retinal vessel segmentation is the task of segmenting vessels in retina imagery. This binary task was performed with a U-Net network.
Seed-Clustering
Performing basic clustering on a seeds dataset.
Semantic-Segmentation-of-Satellite-Images-With-U-Net
A semantic segmentation problem completed with U-Net convolutional neural network of urban aerial images taken in Dubai.
Sentinel-2-Image-Clustering
Image clustering with k-means approach.
Solutions-to-Direct-and-Inverse-Geodetic-Problems-With-Ellipsoidal-Chords
An approach of solving the most fundamental and important geodetic tasks with usage of ellipsoidal chords (slant distances) proposed by Molodensky.
SQL-exercises
Solutions to tasks and exercises from different websites