I Create Machine learning model that recognize human's activity with Python & python projects

Publicado el: 02 diciembre 2023
en el canal de: Code Nust

1,725

I Create Machine learning model that recognize human's activity with Python || python projects

In this tutorial, dive into the world of Machine Learning and Human Activity Recognition using Python! 🤖💡

Human Activity Recognition (HAR) is a fascinating application where we use sensor data, such as accelerometer and gyroscope readings from smartphones, to classify activities like walking, running, sitting, and standing.

In this hands-on tutorial, we'll walk through the complete process:

1. Data Generation: We'll create a synthetic dataset mimicking sensor data that would typically be collected from smartphones during various activities.

2. Data Preprocessing: Exploring feature scaling to prepare our data for modeling. We'll scale our features using StandardScaler from scikit-learn.

3. Model Selection & Training: We'll employ a Random Forest Classifier, a powerful machine learning algorithm, and train it on our prepared dataset.

4. Cross-Validation: To ensure the robustness of our model, we'll use cross-validation to assess its performance across different segments of the training data.

5. Evaluation & Visualization: Calculating the accuracy of our model and visualizing its performance using a confusion matrix heatmap.

This tutorial is perfect for beginners and enthusiasts looking to grasp the fundamentals of machine learning applied to real-world scenarios.

🚀📈 Let's explore the exciting world of Human Activity Recognition using Python and Machine Learning together!

Don't forget to like, share, and subscribe for more engaging machine learning tutorials and coding examples!

Stay tuned and happy coding! 🌟👩‍💻👨‍💻

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