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1. Signal-Processing-and-Filter-Analysis Signal-Processing-and-Filter-Analysis Public

   Exploring and Analyzing Filters, Impulse Responses, and Audio Signal Transformations

   Python 1

2. Dijkstra-Algorithm-Using-D-ary-Heap Dijkstra-Algorithm-Using-D-ary-Heap Public

   Implementation of Dijkstra's algorithm with a D-ary heap for efficiently finding the shortest paths in weighted graphs.

   Python 1

3. Image-Compression-Using-K-Means Image-Compression-Using-K-Means Public

   Image Compression with K-Means Clustering Using Elbow Method For Finding Optimal K

   Python 1

4. Huffman-Coding-for-Binary-File-Compression-and-Decompression Huffman-Coding-for-Binary-File-Compression-and-Decompression Public

   Implementation of Huffman coding technique for lossless image compression

   Python 1

5. Calculation_of_Apache_scores_for_mortality_risk_prediction Calculation_of_Apache_scores_for_mortality_risk_prediction Public

   Forked from MiladNooraei/Calculating_Apache_II_and_III

   Analyzing patient data sets and calculating their Apache II and Apache III scores for mortality risk prediction

   Jupyter Notebook 1

6. Logistic-Regression-Model-for-Diabetes-Prediction Logistic-Regression-Model-for-Diabetes-Prediction Public

   The logistic regression model is trained using the cleaned data with the accuracy of 0.79

   Python 1