roie-k Goto Github PK

analysis-of-chess-competitions-between-different-countries

This study employs advanced chess analysis methodologies, focusing on country-level performance using fuzzy matching and parallel processing with Dask. We provide insights into national trends and performance metrics by leveraging comprehensive data examination techniques, including meticulous preprocessing and KNNImputer for handling missing data.

calculate-heat-equation-using-mpi-parallel-processing-

calculate the Heat Equation for a specific geometric shape (mentioned below) using MPI library in C language

clustering-and-unsupervised-computational-learning

Clustering and Unsupervised Computational Learning with this course at Ben Gurion University. Explore unsupervised machine learning principles, mastering clustering algorithms such as K-means and DBSCAN. Gain vital skills to analyze unstructured data and extract valuable insights.

egyptian-skulls-eda

Exploratory Data Analysis Egyptian skull over the years using different kinds of Statistical Analysis.

genetic-algorithm-for-job-shop-scheduling-and-nsga-ii

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

image-classification-pytorch

life-expectancy-linear-regression-only

machine-and-deep-learning-classifcation-using-parallel-processing

This research leverages classical machine learning algorithms for innovative accurate and efficient fabric protrusion detection. We present an approach to optimize a model accuracy rate and execution time for finding the best accuracy using parallel processing with Dask (Python). https://www.mdpi.com/2079-9292/11/21/3426

matrix-multiplication-using-parallel-processing-mpi-in-c

Matrix Multiplication using Parallel Processing (#distributed systems #MPI #C)

merge-sort-using-openmp-parallel-processing-using-shared-memory-

a program that execute the merge sort using shared memory code in C

music-century-classification

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

random-walk-htcondor

a program that execute the random walk algorithm using HTCondor in C

sklearn_tutorial

Materials for my scikit-learn tutorial

the-art-of-analyzing-big-data---the-data-scientist-s-toolbox

Topics including data manipulation, visualization, graph and text analytics, deep learning, and big data processing. You'll master tools like Jupyter Notebook, SQL, Pandas, Matplotlib, Seaborn, TuriCreate, Networkx, and Spark through hands-on tutorials and practical exercises.

variational-autoencoders-for-celeba-dataset-pytorch

word-prediction-deep-learning