Palash Tyagi
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75d07371b2
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Increase training epochs from 5000 to 10000 for improved model performance
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2025-07-06 20:16:06 +01:00 |
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Palash Tyagi
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70d2a7a2b4
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Refactor GaussianNB implementation for improved clarity and stability, including enhanced variance handling and additional unit tests
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2025-07-06 20:13:59 +01:00 |
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Palash Tyagi
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261d0d7007
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Refactor DenseNN implementation to enhance activation function handling and improve training process
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2025-07-06 20:03:16 +01:00 |
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Palash Tyagi
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ab6d5f9f8f
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Refactor test module imports in LinReg to improve clarity
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2025-07-06 19:17:09 +01:00 |
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Palash Tyagi
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1c8fcc0bad
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Refactor LogReg implementation for improved readability by adjusting formatting and organizing imports
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2025-07-06 19:17:03 +01:00 |
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Palash Tyagi
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54a266b630
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Add unit tests for logistic regression fit and predict methods
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2025-07-06 18:52:49 +01:00 |
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Palash Tyagi
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4ddacdfd21
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Add unit tests for linear regression fit and predict methods
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2025-07-06 18:52:15 +01:00 |
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Palash Tyagi
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b279131503
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Add model modules for linear regression, logistic regression, dense neural network, k-means, PCA, and Gaussian Naive Bayes
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2025-07-06 17:43:17 +01:00 |
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Palash Tyagi
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eb948c1f49
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Add Gaussian Naive Bayes implementation with fit and predict methods
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2025-07-06 17:43:04 +01:00 |
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Palash Tyagi
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d4c0f174b1
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Add PCA implementation with fit and transform methods
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2025-07-06 17:42:56 +01:00 |
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Palash Tyagi
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b6645fcfbd
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Add Gaussian Naive Bayes implementation with fit and predict methods
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2025-07-06 17:42:45 +01:00 |
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Palash Tyagi
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b1b7e63fea
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Add Dense Neural Network implementation with forward and training methods
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2025-07-06 17:42:08 +01:00 |
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Palash Tyagi
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be41e9b20e
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Add logistic regression model implementation
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2025-07-06 17:41:14 +01:00 |
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Palash Tyagi
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1501ed5b7a
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Add linear regression model implementation
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2025-07-06 17:40:55 +01:00 |
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