WEBVTT

00:00.080 --> 00:02.160
Hello developers and welcome back.

00:02.480 --> 00:12.080
Now go to colab.research.google.com, click file Upload notebook browse and let's go to this folder

00:12.240 --> 00:18.800
Python training and upload file number seven car mpg prediction.

00:18.800 --> 00:20.000
Click open.

00:20.000 --> 00:21.200
And here we go.

00:21.240 --> 00:23.280
This is our notebook.

00:23.480 --> 00:24.520
So welcome.

00:24.520 --> 00:32.640
In this tutorial we'll build a machine learning model that predicts car mileage mpg based on various

00:32.640 --> 00:40.800
car features, the learning objectives, data loading and exploration, data pre-processing and cleaning.

00:40.960 --> 00:43.920
Building a neural network with TensorFlow.

00:43.920 --> 00:47.200
Keras model training and evaluation.

00:47.240 --> 00:51.440
Making predictions and exporting model to Android.

00:51.480 --> 00:55.160
Guys, it's not as simple model.

00:55.160 --> 00:57.880
We're going to create a complex model.

00:57.880 --> 01:05.640
We're going to use AI with machine learning to make a model used in our Android application.

01:05.640 --> 01:14.920
So I want from you to focus with me, and it will be a very exciting and a professional journey.

01:14.960 --> 01:22.120
At first, let me start by importing necessary libraries and loading and explore that data.