{"id":13934657,"url":"https://github.com/vi3k6i5/learning_ml","last_synced_at":"2026-04-02T01:33:42.153Z","repository":{"id":66135885,"uuid":"122809485","full_name":"vi3k6i5/learning_ml","owner":"vi3k6i5","description":"I am teaching a Learning ML workshop for some folks @ Belong.co. 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Creating this repo to organise the course material.\n\nI have implemented some basic machine learning and neural network Models from scratch in python and compared it with sklearn's implementation:\n\nModels\n======\n\n- Simple Linear Regression [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/1_simple_linear_regression.ipynb)\n\n- Simple Linear Regression with Stochastic Gradient Descent [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/2_simple_linear_regression_with_sgd.ipynb)\n\n- Multiple Linear Regression [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/3_multiple_linear_regression.ipynb)\n\n- Multiple Linear Regression with Stochastic Gradient Descent [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/4_multiple_linear_regression_with_sgd.ipynb)\n\n- Logistic Regression [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/5_logistic_regression.ipynb)\n\n- Logistic Regression with Stochastic Gradient Descent [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/6_logistic_regression_with_sgd.ipynb)\n\n- Naive Bayes Classifier Bernoulli [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/7_naive_bayes_classifier_bernoulli.ipynb)\n\n- Naive Bayes Classifier Multinomial [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/8_naive_bayes_classifier_multinomial.ipynb)\n\n- Hidden Markov model [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/models/9_hidden_markov_model.ipynb)\n\nNeural_Networks\n===============\n\n- Fizz Buzz in keras with Relu [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/neural_networks/keras_fizz_buzz.ipynb)\n\n- Fizz Buzz in keras with LeakyReLU and Dropout [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/neural_networks/keras_fizz_buzz_2.ipynb)\n\n- Fizz Buzz in Tensorflow [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/neural_networks/tensorflow_fizz_buzz.ipynb)\n\n- Text classficiation model in keras [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/neural_networks/keras_text_classification.ipynb)\n\nWorking on more models to be put here, Reinforcement learning and Encoder decoder models.\n\nMetrics\n=======\n\n- AUC and AUC_ROC [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/metrics/compute_auc_metrics.ipynb)\n\n- Covariance and Correlation [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/metrics/covariance_and_correlation.ipynb)\n\n- Categorical Cross Entropy and LogLoss [Notebook](https://github.com/vi3k6i5/learning_ml/blob/master/metrics/categorical_cross_entropy_and_log_loss.ipynb)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvi3k6i5%2Flearning_ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvi3k6i5%2Flearning_ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvi3k6i5%2Flearning_ml/lists"}