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dipanjanS / practical-machine-learning-with-python

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Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python machine-learning natural-language-processing computer-vision deep-learning jupyter notebook clustering tensorflow scikit-learn keras jupyter-notebook pandas spacy nltk classification convolutional-neural-networks prophet statsmodels time-series-analysis
  • Updated Mar 31, 2024
  • Jupyter Notebook

curiousily / Machine-Learning-from-Scratch

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Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

data-science machine-learning reinforcement-learning sentiment-analysis book notebook machine-learning-algorithms regression artificial-intelligence neural-networks classification recommender-systems
  • Updated Jul 5, 2023
  • Jupyter Notebook

oracle-samples / automlx

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This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

python data-science machine-learning ai oracle regression tuning hyperparameter-optimization classification fairness automl mlx automated-machine-learning interpretability timeseries-forecasting fairness-ai explainability machine-learning-explainability unsupervised-anomaly-detection automlx
  • Updated Oct 13, 2023

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