Update README.md

Author: Anas436

README.md

@@ -1 +1,44 @@
-# Multiple-Linear-Regression-with-Python
+# Multiple-Linear-Regression-with-Python
+
+
+
+## Objectives
+
+After completing this lab you will be able to:
+
+*   Use scikit-learn to implement Multiple Linear Regression
+*   Create a model, train it, test it and use the model
+
+
+<h1>Table of contents</h1>
+
+<div class="alert alert-block alert-info" style="margin-top: 20px">
+    <ol>
+        <li><a href="https://#understanding-data">Understanding the Data</a></li>
+        <li><a href="https://#reading_data">Reading the Data in</a></li>
+        <li><a href="https://#multiple_regression_model">Multiple Regression Model</a></li>
+        <li><a href="https://#prediction">Prediction</a></li>
+        <li><a href="https://#practice">Practice</a></li>
+    </ol>
+</div>
+<br>
+<hr>
+
+<h2 id="understanding_data">Understanding the Data</h2>
+
+### `FuelConsumption.csv`:
+
+We have downloaded a fuel consumption dataset, **`FuelConsumption.csv`**, which contains model-specific fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles for retail sale in Canada. [Dataset source](http://open.canada.ca/data/en/dataset/98f1a129-f628-4ce4-b24d-6f16bf24dd64?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01)
+
+*   **MODELYEAR** e.g. 2014
+*   **MAKE** e.g. Acura
+*   **MODEL** e.g. ILX
+*   **VEHICLE CLASS** e.g. SUV
+*   **ENGINE SIZE** e.g. 4.7
+*   **CYLINDERS** e.g 6
+*   **TRANSMISSION** e.g. A6
+*   **FUELTYPE** e.g. z
+*   **FUEL CONSUMPTION in CITY(L/100 km)** e.g. 9.9
+*   **FUEL CONSUMPTION in HWY (L/100 km)** e.g. 8.9
+*   **FUEL CONSUMPTION COMB (L/100 km)** e.g. 9.2
+*   **CO2 EMISSIONS (g/km)** e.g. 182   --> low --> 0