Prerequisities and dependencies

This package uses and relies on the following non-standard Julia packages:
  DelimitedFiles        # Provides functionality for reading and writing delimited text files (such as CSV and TSV)
  LinearAlgebra         # Offers a suite of mathematical tools and operations for linear algebra, including matrix       decompositions, norms, and eigenvalues
  Plots                # Provides powerful visualization functions for 2D and 3D plotting with multiple backends (GR, PyPlot, Plotly, etc.)
  Word2vec.jll         # Links to the underlying Word2Vec implementation (C code), enabling fast training and     loading of word embeddings
  Statistics           # Provides functions for basic statistical operations (mean, variance, standard deviation,       correlation, etc.)
  LinearAlgebra        # Offers a suite of mathematical tools and operations for linear algebra (duplicate entry)
  OneHotArrays         # Implements one-hot encoding for categorical data, useful in machine learning and natural  language processing
  Test                 # Julia’s built-in unit testing framework for writing and running test cases using `@test` and `@testset`
  Plots                # Provides powerful visualization functions for 2D and 3D plotting with multiple backends (duplicate entry)
  Flux                 # A machine learning framework for Julia, offering deep learning capabilities with GPU acceleration and automatic differentiation
  ProgressMeter        # A utility for tracking progress in loops and long computations with progress bars and timers
Prerequisities and dependencies

All Functions List
