diff --git a/notebooks/anomaly_detection/anomaly_detection_gaussian_demo.ipynb b/notebooks/anomaly_detection/anomaly_detection_gaussian_demo.ipynb index 7047b7d..5e0af1a 100644 --- a/notebooks/anomaly_detection/anomaly_detection_gaussian_demo.ipynb +++ b/notebooks/anomaly_detection/anomaly_detection_gaussian_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Anomaly Detection Using Gaussian Distribution\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Anomaly Detection](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/anomaly_detection)\n", "> - ⚙️[Gaussian Anomaly Detection Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/anomaly_detection/gaussian_anomaly_detection.py)\n", diff --git a/notebooks/k_means/k_means_demo.ipynb b/notebooks/k_means/k_means_demo.ipynb index f5e80be..741693b 100644 --- a/notebooks/k_means/k_means_demo.ipynb +++ b/notebooks/k_means/k_means_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# K-Means Algorithm Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the K-Means Algorithm](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/k_means)\n", "> - ⚙️[K-Means Algorithm Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/k_means/k_means.py)\n", diff --git a/notebooks/linear_regression/multivariate_linear_regression_demo.ipynb b/notebooks/linear_regression/multivariate_linear_regression_demo.ipynb index a5d9b53..baaf9ba 100644 --- a/notebooks/linear_regression/multivariate_linear_regression_demo.ipynb +++ b/notebooks/linear_regression/multivariate_linear_regression_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Multivariate Linear Regression Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Linear Regression](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/linear_regression)\n", "> - ⚙️[Linear Regression Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/linear_regression/linear_regression.py)\n", diff --git a/notebooks/linear_regression/non_linear_regression_demo.ipynb b/notebooks/linear_regression/non_linear_regression_demo.ipynb index 089954b..8280c81 100644 --- a/notebooks/linear_regression/non_linear_regression_demo.ipynb +++ b/notebooks/linear_regression/non_linear_regression_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Non-linear Regression Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Linear Regression](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/linear_regression)\n", "> - ⚙️[Linear Regression Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/linear_regression/linear_regression.py)\n", diff --git a/notebooks/linear_regression/univariate_linear_regression_demo.ipynb b/notebooks/linear_regression/univariate_linear_regression_demo.ipynb index 5a43bb8..9ad440e 100644 --- a/notebooks/linear_regression/univariate_linear_regression_demo.ipynb +++ b/notebooks/linear_regression/univariate_linear_regression_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Univariate Linear Regression Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Linear Regression](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/linear_regression)\n", "> - ⚙️[Linear Regression Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/linear_regression/linear_regression.py)\n", diff --git a/notebooks/logistic_regression/logistic_regression_with_linear_boundary_demo.ipynb b/notebooks/logistic_regression/logistic_regression_with_linear_boundary_demo.ipynb index 4ae9ecb..702f793 100644 --- a/notebooks/logistic_regression/logistic_regression_with_linear_boundary_demo.ipynb +++ b/notebooks/logistic_regression/logistic_regression_with_linear_boundary_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Logistic Regression With Linear Boundary Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Logistic Regression](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/logistic_regression)\n", "> - ⚙️[Logistic Regression Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/logistic_regression/logistic_regression.py)\n", diff --git a/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb b/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb index 38f76d6..a9e0915 100644 --- a/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb +++ b/notebooks/logistic_regression/logistic_regression_with_non_linear_boundary_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Logistic Regression With Non-Linear Boundary Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Logistic Regression](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/logistic_regression)\n", "> - ⚙️[Logistic Regression Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/logistic_regression/logistic_regression.py)\n", diff --git a/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb b/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb index df56fda..7381ae0 100644 --- a/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb +++ b/notebooks/logistic_regression/multivariate_logistic_regression_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Multivariate Logistic Regression Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Logistic Regression](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/logistic_regression)\n", "> - ⚙️[Logistic Regression Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/logistic_regression/logistic_regression.py)\n", diff --git a/notebooks/neural_network/multilayer_perceptron_demo.ipynb b/notebooks/neural_network/multilayer_perceptron_demo.ipynb index f264625..4e42709 100644 --- a/notebooks/neural_network/multilayer_perceptron_demo.ipynb +++ b/notebooks/neural_network/multilayer_perceptron_demo.ipynb @@ -6,6 +6,8 @@ "source": [ "# Neural Network (Multilayer Perceptron) Demo\n", "\n", + "_Source: 🤖[Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) repository_\n", + "\n", "> ☝Before moving on with this demo you might want to take a look at:\n", "> - 📗[Math behind the Neural Networks](https://github.com/trekhleb/homemade-machine-learning/tree/master/homemade/neural_network)\n", "> - ⚙️[Neural Network Source Code](https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/neural_network/multilayer_perceptron.py)\n",