Repository for data science projects and study files. The solutions are mainly made on R and Python.
Contains the implementation of BolzmannMachine made on Python.
Contains the solutions to assignments in Coursera Data Science specialization. The solutions are made on R.
The scripts being made during learning Python possibilities for Machine Learning and Data Science. It contains k-NN, Latent Dirichlet Allocation, Naive Bayes, Classification solutions. The scripts are made on Python and use NumPy, SciPy, SkLearn, MatPlotLib libraries.
The scripts being made during learning Machine Learning on R. It contains Decision Trees, Descision Rules, Naive Bayes, Regression, k-NN solutions made on R.
The project contains scripts for data preprocessing and analysis for purchase prediction problem. The scripts are made on R.
Contains the projects that were done during Machine Learning Coursera Course: K-Means Clustering, PCA, Linear Regression, Logistic Regression, Neural Networks, Recommender Systems and Support Vector Machines. All the projects are done on Octave.
The project for predicting Caterpillar tubes prices. The project contains the scripts for data preprocessing, data analyzing and building the predictive model. The project is implemented on R.
The project for predicting survivance among people being on Titanic. The project contains the script for data preprocessing, analyzing and building Random Forest predictor. The project in implemented on Python. It uses NumPy, SkLearn and Pandas libraries.
The implementation of Hopfield Network with async running. The project is implemented on Python. It uses NumPy library.
This project for extracting and analyzing driving related data. The project is implemented on Python and contains interaction with external APIs.
This project builds a convolutional neural network for simple MNIST dataset. It is implemented on Python and uses Tensorflow.
This project provides the analysis of product reviews from Amazon. It is implemented on Python.
Collecting and analyzing Malta Properties data. Both data crawling and analysis are made using Python.