Machine Learning & Deep Learning Workshop (9th & 10th Nov 2024)
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Machine Learning & Deep Learning Workshop (9th & 10th Nov 2024)

Machine Learning & Deep Learning Workshop (9th & 10th Nov 2024)

$1.62

Original: $5.40

-70%
Machine Learning & Deep Learning Workshop (9th & 10th Nov 2024)

$5.40

$1.62

The Story

Machine Learning & Deep Learning Workshop (9th & 10th Nov 2024)

Workshop Details:

  • Date: 9th & 10th Nov 2024
  • Time: 2 pm - 6 pm
  • Duration: 8hrs
  • Age group: 18+

What we will cover:

Day 1 (9th Nov 2024)

  • Scikit-learn Basics: Introduction to essential functions for datasets, preprocessing, model building, and evaluation.
  • Regression Models: Build and evaluate regression models using metrics like MSE, MAE, and R-squared.
  • Classification Models: Implement classification algorithms and assess performance with accuracy, precision, recall, and F1 score.
  • Clustering Models: Explore unsupervised learning with K-means, evaluating clusters using inertia, silhouette score, and Davies-Bouldin index.

Day 2 (10th Nov 2024)

  • Prerequisites: Python and basic machine learning knowledge.
  • TensorFlow Basics: Introduction to TensorFlow concepts and essential functions like tf.data, tf.Variable, tf.Tensor, and tf.keras.
  • Regression Model: Build and evaluate a regression model using TensorFlow with metrics such as MSE, MAE, and R-squared.
  • Classification Model: Implement a binary or multiclass classification model with TensorFlow, assessing performance using accuracy, precision, recall, and F1 score.

To Learn More click here!

Note: This is a hands-on workshop. We will share the list of required software once you register. No kits are required.

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Details & Craftsmanship

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Description

Machine Learning & Deep Learning Workshop (9th & 10th Nov 2024)

Workshop Details:

  • Date: 9th & 10th Nov 2024
  • Time: 2 pm - 6 pm
  • Duration: 8hrs
  • Age group: 18+

What we will cover:

Day 1 (9th Nov 2024)

  • Scikit-learn Basics: Introduction to essential functions for datasets, preprocessing, model building, and evaluation.
  • Regression Models: Build and evaluate regression models using metrics like MSE, MAE, and R-squared.
  • Classification Models: Implement classification algorithms and assess performance with accuracy, precision, recall, and F1 score.
  • Clustering Models: Explore unsupervised learning with K-means, evaluating clusters using inertia, silhouette score, and Davies-Bouldin index.

Day 2 (10th Nov 2024)

  • Prerequisites: Python and basic machine learning knowledge.
  • TensorFlow Basics: Introduction to TensorFlow concepts and essential functions like tf.data, tf.Variable, tf.Tensor, and tf.keras.
  • Regression Model: Build and evaluate a regression model using TensorFlow with metrics such as MSE, MAE, and R-squared.
  • Classification Model: Implement a binary or multiclass classification model with TensorFlow, assessing performance using accuracy, precision, recall, and F1 score.

To Learn More click here!

Note: This is a hands-on workshop. We will share the list of required software once you register. No kits are required.

Machine Learning & Deep Learning Workshop (9th & 10th Nov 2024) | Robocraze