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Nektarios Christou's Projects

apache-spark-evaluation icon apache-spark-evaluation

Evaluates the execution time differences between RDD (Resilient Distributed Datasets) and DataFrame data structures in Apache Spark. Also takes into account the file format being used, such as CSV or Parquet.

dynamic-time-warping icon dynamic-time-warping

Dynamic Time Warping (DTW) implementation with and without locality constraint (window).

image-processing-algorithms icon image-processing-algorithms

Python notebook demonstrating the practical application of various methods, including Canny Edge Detection, Harris Corner Detector, Hough Transform for Lines detection and Laplacian of Gaussian (LoG).

m4-timeseries-mlp icon m4-timeseries-mlp

TimeSeries forecasting with a simple MLP model. It preprocesses the m4-competition dataset, encodes time-related info, scales data, and generates input sequences. The MLP, using TensorFlow/Keras, has layers tailored for the forecast horizon.

minhash-lsh-evaluation icon minhash-lsh-evaluation

Assessing MinHash LSH for text similarity. Compares with kNN using BART embeddings as ground truth. Involves data preprocessing, shingle creation, LSH experiments. Findings inform LSH's efficiency in document similarity tasks, enhancing understanding of LSH techniques.

ml-classic-scratch icon ml-classic-scratch

Ordinary Least Squares, Ridge Regression, Expectation Maximization, Full Bayesian Inference, Bayes Classifiers, kNN, and MLP core algorithms from scratch. Some auxiliary functions are also used.

pneumonia-logreg-hog icon pneumonia-logreg-hog

Deep learning excels at learning hierarchical representations and handling large-scale data, but classical ML methods, when combined with HOG, a potent local shape and structure feature descriptor, can still deliver impressive performance, especially for specific image recognition tasks.

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