From ec11ff2d5e93c81f59f3ca906c92f9978f9f7994 Mon Sep 17 00:00:00 2001
From: "Carlos A. Iglesias" <cif2cif@gmail.com>
Date: Mon, 2 Jun 2025 16:06:53 +0300
Subject: [PATCH] Update 2_3_0_Visualisation.ipynb

Changed image path
---
 ml1/2_3_0_Visualisation.ipynb | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/ml1/2_3_0_Visualisation.ipynb b/ml1/2_3_0_Visualisation.ipynb
index 6138165..d58bd54 100644
--- a/ml1/2_3_0_Visualisation.ipynb
+++ b/ml1/2_3_0_Visualisation.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](files/images/EscUpmPolit_p.gif \"UPM\")"
+    "![](./images/EscUpmPolit_p.gif \"UPM\")"
    ]
   },
   {
@@ -49,7 +49,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The goal of this notebook is to learn how to analyse a dataset. We will cover other tasks such as cleaning or munging (changing the format) the dataset  in other sessions."
+    "This notebook aims to learn how to analyse a dataset. We will cover other tasks such as cleaning or munging (changing the format) the dataset  in other sessions."
    ]
   },
   {
@@ -65,13 +65,13 @@
    "source": [
     "This section covers different ways to inspect the distribution of samples per feature.\n",
     "\n",
-    "First of all, let's see how many samples of each class we have, using a [histogram](https://en.wikipedia.org/wiki/Histogram). \n",
+    "First of all, let's see how many samples we have in each class using a [histogram](https://en.wikipedia.org/wiki/Histogram). \n",
     "\n",
-    "A histogram is a graphical representation of the distribution of numerical data. It is an estimation of the probability distribution of a continuous variable (quantitative variable). \n",
+    "A histogram is a graphical representation of the distribution of numerical data. It estimates the probability distribution of a continuous variable (quantitative variable). \n",
     "\n",
-    "For building a histogram, we need first to 'bin' the range of values—that is, divide the entire range of values into a series of intervals—and then count how many values fall into each interval. \n",
+    "For building a histogram, we need to 'bin' the range of values—that is, divide the entire range of values into a series of intervals—and then count how many values fall into each interval. \n",
     "\n",
-    "In our case, since the values are not continuous and we have only three values, we do not need to bin them."
+    "Since the values are not continuous and we have only three values, we do not need to bin them."
    ]
   },
   {
@@ -115,7 +115,7 @@
    "metadata": {},
    "source": [
     "As can be seen, we have the same distribution of samples for every class.\n",
-    "The next step is to see the distribution of the features"
+    "The next step is to see the distribution of the features."
    ]
   },
   {
@@ -184,7 +184,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As we can see, the Setosa class seems to be linearly separable with these two features.\n",
+    "As we can see, the Setosa class seems linearly separable with these two features.\n",
     "\n",
     "Another nice visualisation is given below."
    ]
@@ -241,7 +241,7 @@
    "source": [
     "## Licence\n",
     "\n",
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]