Machine Learning with Python

Mark as Favorite Share
image

What Will You Learn?

In the Machine Learning with Python Course, you'll use the TensorFlow framework to build several neural networks and explore more advanced techniques like natural language processing and reinforcement learning.
You'll also dive into neural networks, and learn the principles behind how deep, recurrent, and convolutional neural networks work.

About This Course

Provider: Freecodecamp
Format: Online
Duration: 300 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: After completing this free course, you'll master TensorFlow for building neural networks, delve into advanced techniques like natural language processing and reinforcement learning.
Course Prerequisites: NA
Assessment and Certification: Earn a Certificate upon completion from the relevant Provider
Instructor: Freecodecamp
Key Topics: Python Programming Language, Tensorflow, Neural Networks, Machine Learning, Deep Learning, Natural Language Processing
Topic Covered: 
  2. - Introduction: Machine Learning Fundamentals
  3. - Introduction to TensorFlow
  4. - Core Learning Algorithms
  5. - Core Learning Algorithms: Working with Data
  6. - Core Learning Algorithms: Training and Testing Data
  7. - Core Learning Algorithms: The Training Process
  8. - Core Learning Algorithms: Classification
  9. - Core Learning Algorithms: Building the Model
  10. - Core Learning Algorithms: Clustering
  11. - Core Learning Algorithms: Hidden Markov Models
  12. - Core Learning Algorithms: Using Probabilities to make Predictions
  13. - Neural Networks with TensorFlow
  14. - Neural Networks: Activation Functions
  15. - Neural Networks: Optimizers
  16. - Neural Networks: Creating a Model
  17. - Convolutional Neural Networks
  18. - Convolutional Neural Networks: The Convolutional Layer
  19. - Creating a Convolutional Neural Network
  20. - Convolutional Neural Networks: Evaluating the Model
  21. - Convolutional Neural Networks: Picking a Pretrained Model
  22. - Natural Language Processing With RNNs
  23. - Natural Language Processing With RNNs: Recurring Neural Networks
  24. - Natural Language Processing With RNNs: Sentiment Analysis
  25. - Natural Language Processing With RNNs: Making Predictions
  26. - Natural Language Processing With RNNs: Create a Play Generator
  27. - Natural Language Processing With RNNs: Building the Model
  28. - Natural Language Processing With RNNs: Training the Model
  29. - Reinforcement Learning With Q-Learning
  30. - Reinforcement Learning With Q-Learning: Example
  31. - How Neural Networks Work
  32. - How Deep Neural Networks Work
  33. - Recurrent Neural Networks RNN and Long Short Term Memory LSTM
  34. - Deep Learning Demystified
  35. - How Convolutional Neural Networks work
  36. - Project 1: Rock Paper Scissors
  37. - Project 2: Cat and Dog Image Classifier
  38. - Project 3: Book Recommendation Engine using KNN
  39. - Project 4: Linear Regression Health Costs Calculator
  40. - Project 5: Neural Network SMS Text Classifier

0 Comments

No reviews yet !!

Please login first

Course Tags
Machine Learning with Python Course Machine Learning Course Machine Learning Free Course Top Free Course Natural Language Processing Basics Free Machine Learning Course TensorFlow Free Course Learning Algorithms Machine Learning Fundamentals Free Neural Networks Course