Android 和线性回归 - 房价预测应用程序
上次更新时间：2024-11-23
课程售价: 2.9 元
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课程内容
1. Introduction
2. Machine Learning & Deep Learning Introduction
3. Python A simple overview
4. Data Science Libraries Numpy, Pandas, Matplotlib
5. Tensorflow and Tensorflow Lite
6. Train a simple Regression Model and build Android Application
- 1. Section Introduction
- 2. Training a simple regression model for mobile devices
- 3. Model Testing and Conversion into Tensorflow Lite
- 4. Tensorflow Lite Model Training Overview
- 5. Analysing trained tflite model
- 6. Creating a new Android Studio Project and GUI of Application
- 7. Adding Tensorflow Lite Library In Android & Loading Tensorflow Lite Model
- 8. Passing Input to Tensorflow Lite Model in Android and Getting Output
- 9. Using basic tflite regression model in Android overview
7. Fuel Efficiency Prediction Training an advance regression model
- 1. Section Introduction
- 2. Data Collection Finding Fuel Efficiency Prediction Dataset
- 3. Loading Dataset in Python for Model Training
- 4. Handling missing Values in Fuel Efficiency Prediction Dataset
- 5. Handling Categorical Columns in Dataset for Model Training
- 6. Dataset Normalization
- 7. Training Fuel Efficiency Prediction Model in Tensorflow
- 8. Testing Trained Model and converting it to Tensorflow Lite Model
- 9. Training Fuel Efficiency Prediction Model Overview
8. Fuel Efficiency Prediction Android Application
- 1. Setting up Android Application for fuel efficiency prediction
- 2. Starter Application Overview
- 3. Loading Tensorflow Lite models in Android
- 4. Data Normalization in Android
- 5. Passing input to Tensorflow Lite model in Android and getting output
- 6. Testing fuel efficiency prediction android application
- 7. Fuel Efficiency Prediction Android App Overview
9. Training a house price prediction Model
10. Building House Price Prediction Android Application
课程内容
10个章节 , 61个讲座
1. Introduction
2. Machine Learning & Deep Learning Introduction
3. Python A simple overview
4. Data Science Libraries Numpy, Pandas, Matplotlib
5. Tensorflow and Tensorflow Lite
6. Train a simple Regression Model and build Android Application
- 1. Section Introduction
- 2. Training a simple regression model for mobile devices
- 3. Model Testing and Conversion into Tensorflow Lite
- 4. Tensorflow Lite Model Training Overview
- 5. Analysing trained tflite model
- 6. Creating a new Android Studio Project and GUI of Application
- 7. Adding Tensorflow Lite Library In Android & Loading Tensorflow Lite Model
- 8. Passing Input to Tensorflow Lite Model in Android and Getting Output
- 9. Using basic tflite regression model in Android overview
7. Fuel Efficiency Prediction Training an advance regression model
- 1. Section Introduction
- 2. Data Collection Finding Fuel Efficiency Prediction Dataset
- 3. Loading Dataset in Python for Model Training
- 4. Handling missing Values in Fuel Efficiency Prediction Dataset
- 5. Handling Categorical Columns in Dataset for Model Training
- 6. Dataset Normalization
- 7. Training Fuel Efficiency Prediction Model in Tensorflow
- 8. Testing Trained Model and converting it to Tensorflow Lite Model
- 9. Training Fuel Efficiency Prediction Model Overview
8. Fuel Efficiency Prediction Android Application
- 1. Setting up Android Application for fuel efficiency prediction
- 2. Starter Application Overview
- 3. Loading Tensorflow Lite models in Android
- 4. Data Normalization in Android
- 5. Passing input to Tensorflow Lite model in Android and getting output
- 6. Testing fuel efficiency prediction android application
- 7. Fuel Efficiency Prediction Android App Overview