Learning Machine Learning through interactive notebooks

A Machine Learning repository containing over 30 notebooks covering everything from data analysis, data preparation, classical machine learning algorithms, and deep learning.

Author: Nyandwi

0_python_for_ml/intro_to_python.ipynb

@@ -1,5 +1,24 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table align=\"left\">\n",
+    "  <td>\n",
+    "    <a href=\"https://colab.research.google.com/github/nyandwi/machine_learning_complete/blob/main/1_data_computations_with_numpy/1_intro_to_numpy_for_data_computation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
+    "  </td>\n",
+    "  <td>\n",
+    "</table>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*This notebook was created by [Jean de Dieu Nyandwi](https://twitter.com/jeande_d) for the love of machine learning community. For any feedback, errors or suggestion, he can be reached on email (johnjw7084 at gmail dot com), [Twitter](https://twitter.com/jeande_d), or [LinkedIn](https://linkedin.com/in/nyandwi).*"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -3447,7 +3466,6 @@
    "source": [
     "That's it for NumPy. In this lab, you learned how to create an array, perform basic operations, and also how to manipulate an array. \n",
     "\n",
-    "It's kind of fascinating to think how tools like `TensorFlow, Sklearn, Pandas....` are powered by NumPy. \n",
     "\n",
     "In the next lab, we will learn about the Pandas, another important tool used for real world data manipulation."
    ]