Most popular
Machine Learning with TensorFlow and Keras
What you'll learn
Understand the principles and applications of machine learning.
Learn how to use TensorFlow and Keras for building neural networks.
Master techniques for data preprocessing, model training, and evaluation.
Gain insights into deep learning concepts such as convolutional and recurrent neural networks.
Develop skills in deploying machine learning models for real-world applications.
Introduction to Data Science with Python
What you'll learn
Understand the basics of data science and its applications.
Learn how to use Python for data manipulation and analysis.
Master data visualization techniques to present insights effectively.
Gain an introduction to machine learning concepts and algorithms.
Develop skills in applying Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn.
Trending
Introduction to Data Science with Python
What you'll learn
Understand the basics of data science and its applications.
Learn how to use Python for data manipulation and analysis.
Master data visualization techniques to present insights effectively.
Gain an introduction to machine learning concepts and algorithms.
Develop skills in applying Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn.
Machine Learning with TensorFlow and Keras
What you'll learn
Understand the principles and applications of machine learning.
Learn how to use TensorFlow and Keras for building neural networks.
Master techniques for data preprocessing, model training, and evaluation.
Gain insights into deep learning concepts such as convolutional and recurrent neural networks.
Develop skills in deploying machine learning models for real-world applications.
Popular Instructors
All Data Science and Machine Learning Courses
Machine Learning with TensorFlow and Keras
This course provides a comprehensive introduction to machine learning using …
What you'll learn
Understand the principles and applications of machine learning.
Learn how to use TensorFlow and Keras for building neural networks.
Master techniques for data preprocessing, model training, and evaluation.
Gain insights into deep learning concepts such as convolutional and recurrent neural networks.
Develop skills in deploying machine learning models for real-world applications.
Introduction to Data Science with Python
This course provides an introduction to data science using Python, …
What you'll learn
Understand the basics of data science and its applications.
Learn how to use Python for data manipulation and analysis.
Master data visualization techniques to present insights effectively.
Gain an introduction to machine learning concepts and algorithms.
Develop skills in applying Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn.
