Machine Learning Advanced

Machine Learning Bootcamp

Build predictive models and neural networks with Scikit-Learn and TensorFlow.

16 Weeks
Project-Based Learning

About this Course

Build predictive models and neural networks with Scikit-Learn and TensorFlow. This comprehensive course is designed to take you from advanced concepts to advanced mastery. You will build real-world skills through hands-on practice and expert guidance.

Course Syllabus

Module 1: Supervised Learning

4 Weeks

Regression, Classification, and SVMs.

Module 2: Unsupervised Learning

3 Weeks

Clustering, PCA, and dimensionality reduction.

Module 3: Deep Learning with TensorFlow

6 Weeks

Neural Networks, CNNs, and RNNs.

Module 4: Model Deployment

3 Weeks

Serving models with Flask/FastAPI.

Capstone Project

Featured Project

Image Recognition API

Build a deep learning model to classify images and deploy it as a REST API for real-time inference.

Key Features:

  • Convolutional Neural Networks
  • REST API
  • Docker Containerization
Total Investment
Free
Duration: 16 Weeks
Mode: Online / Remote
Certificate of Completion