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NagiPragalathan / Python_Tutorial_For_Data-Science

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This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.

python opensource tutorial jupyter numpy jupyter-notebook python-script pandas python3 pytorch datascience matplotlib machinelearning deeplearning learning-by-doing datavisualization pytorch-implementation scikitlearn learningresources
  • Updated Jun 21, 2023
  • Jupyter Notebook

abhishekGarg26 / Natural_Language_Processing

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🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.

nlp keras nltk randomforest rnn gensim machinelearning wordvectors textclassification datapreprocessing jupyternotebooks scikitlearn documentvectors tfidfvectors accuracymetrics
  • Updated Jun 2, 2023
  • Jupyter Notebook

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