Master Android ML: Build Smart Apps with TensorFlow Lite

Focused View

4:46:28

1 - Machine Learning & Deep Learning for Android App Development

1 -What is Machine Learning.mp4

03:15

2 -Supervised Machine Learning.mp4

03:33

3 -Regression and Classification.mp4

02:08

4 -Unsupervised Machine Learning & Reinforcement Learning.mp4

03:19

5 -Deep Learning and Neural Network Introduction.mp4

05:56

6 -Neural Network Example.mp4

10:05

7 -Working of Neural Networks for Image Classification.mp4

04:51

8 -Basic Deep Learning Concepts.mp4

04:49

2 - Python Programming Language Short Course

1 -Google Colab Introduction.mp4

06:43

2 -Python.zip

2 -Python Introduction & data types.mp4

04:05

3 -Python Numbers.mp4

02:36

4 -Python Strings.mp4

02:49

5 -Python Lists.mp4

06:50

6 -Python dictionary & tuples.mp4

03:11

7 -Python loops & conditional statements.mp4

04:40

8 -File handling in Python.mp4

04:44

3 - Data Science Libraries for Android

1 -DataScience+Libraries.zip

1 -Numpy Introduction.mp4

05:52

2 -Numpy Functions and Generating Random Values.mp4

03:21

3 -Numpy Operators.mp4

02:12

4 -Matrix Multiplications and Sorting in Numpy.mp4

02:08

5 -Pandas Introduction.mp4

04:32

6 -Loading CSV in pandas.mp4

02:14

7 -Handling Missing values in dataset with pandas.mp4

03:29

8 -Matplotlib & charts in python.mp4

03:57

9 -Dealing images with Matplotlib.mp4

03:01

4 - Tensorflow & Tensorflow Lite for Flutter

1 -Tensorflow.zip

1 -Tensorflow Introduction Variables & Constants.mp4

06:29

2 -Shapes & Ranks of Tensors.mp4

06:50

3 -Matrix Multiplication & Ragged Tensors.mp4

04:51

4 -Tensorflow Operations.mp4

02:01

5 -Generating Random Values in Tensorflow.mp4

06:15

6 -Tensorflow Checkpoints.mp4

03:34

7 -Tensorflow Lite Introduction & Advantages.mp4

04:49

5 - Training a basic regression model for Android

1 -BasicExample.zip

1 -Train a simple regression model for Android.mp4

09:50

2 -Testing model and converting it to a tflite(Tensorflow lite) format for Android.mp4

03:18

3 -Model training for Android app development overview.mp4

01:44

4 -Creating a new Android Studio Project and GUI of Application.mp4

08:29

5 -Adding Tensorflow Lite Library In Android & Loading Tensorflow Lite Model.mp4

08:00

6 -Passing Input to Tensorflow Lite Model in Android and Getting Output.mp4

07:24

6 - Fuel Efficiency Prediction Training an advance regression model

1 -Section Introduction.mp4

02:31

2 -Data Collection Finding Fuel Efficiency Prediction Dataset.mp4

04:56

2 -FuelEfficiencyPrediction.zip

3 -Loading Dataset in Python for Model Training.mp4

07:45

4 -Handling missing Values in Fuel Efficiency Prediction Dataset.mp4

03:24

5 -Handling Categorical Columns in Dataset for Model Training.mp4

04:38

6 -Training and testing datasets.mp4

04:19

7 -Normalization Introduction.mp4

02:12

8 -Dataset Normalization.mp4

02:40

9 -Training Fuel Efficiency Prediction Model in Tensorflow.mp4

07:04

10 -Testing Trained Model and converting it to Tensorflow Lite Model.mp4

04:20

11 -Training Fuel Efficiency Prediction Model Overview.mp4

04:30

7 - Fuel Efficiency Prediction Android Application

1 -Setting up Android Application for fuel efficiency prediction.mp4

07:19

2 -Loading Tensorflow Lite models & performaning normalization in Android.mp4

08:38

3 -Passing input to Tensorflow Lite model in Android and getting output.mp4

03:40

4 -Testing fuel efficiency prediction android application.mp4

01:54

8 - Training a House Price Prediction Model & Building Android App

1 -Section Introduction.mp4

01:57

2 -Getting dataset for training house price prediction model.mp4

03:45

2 -HousePricePrediction.zip

3 -Loading dataset for training tflite model.mp4

07:19

4 -Training & Evaluating house price prediction model.mp4

06:30

5 -Retraining House Price Prediction Model.mp4

04:04

6 -House Price Prediction Android App.mp4

07:28

7 -Test the Android App.mp4

02:22

9 - Image Classification

1 -Image Classification Introduction & Applications.mp4

05:19

More details

Course Overview
This comprehensive course teaches you to train and integrate TensorFlow Lite models for Android, covering image classification, object detection, and regression to build intelligent Kotlin applications with real-world use cases.

What You'll Learn

Train ML models for Android including image classification, object detection, and regression
Integrate TensorFlow Lite models into Android Kotlin apps with live camera processing
Master Python data science libraries (NumPy, Pandas) for Android ML model training

Who This Is For

Android developers wanting to add ML capabilities to their apps
ML engineers looking to deploy models in mobile applications
Tech enthusiasts bridging ML and mobile development

Key Benefits

Hands-on projects: fruit detection, tumor classification, and price prediction apps
Complete workflow from data collection to model deployment
Practical skills for real-world Android ML applications