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iamvikramkumar / ibm_machine_learning_coursera

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Quizzes & Assignment Solutions for IBM Machine Learning Certificate on Coursera. Also included a few resources on side that I found helpful.

data-science machine-learning reinforcement-learning deep-learning deep-reinforcement-learning coursera ibm coursera-machine-learning coursera-data-science supervised-machine-learning unsupervised-machine-learning coursera-assignment coursera-specialization machine-learning-capstone coursera-capstone coursera-project coursera-quiz
  • Updated Feb 9, 2024

pgeedh / Hyperparameter-Tuning-with-Keras-Tuner

Star 2

Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization

python machine-learning programming machine-learning-algorithms jupyter-notebook python3 model-selection hyperparameter-optimization mnist-dataset python-3 coursera-machine-learning hyperparameter-tuning random-search keras-neural-networks keras-tensorflow baysian-network model-optimization coursera-project
  • Updated Dec 5, 2023
  • Jupyter Notebook

mahaveer-rulaniya / Logistic-Regression-project

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Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (a form of binary regression).

logistic-regression iitkgp regression-analysis coursera-project mahaveer-rulaniya
  • Updated Aug 13, 2020
  • Jupyter Notebook

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