Learn modern machine learning, deep learning, and data science skills.
- Necessary software development skills.
- Primary high school math, such as trigonometry and algebra.
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What you’ll learn:
- Develop complete machine learning/in-depth learning solutions in Python.
- Write and test Python code interactively using Jupyter notebooks.
- Build, train, and test deep learning models using the popular Tensorflow 2 and Keras APIs.
- Neural network fundamentals by building models from the ground up using only basic Python.
- Manipulate multidimensional data using NumPy.
- Load and transform structured data using Pandas.
- Build high quality, eye-catching visualizations with Matplotlib.
- Reduce training time using free Google Colab GPU instances in the cloud.
- Recognize images using Convolutional Neural Networks (CNNs).
- Make recommendations using collaborative filtering.
- Detect fraud using autoencoders.
- Improve model accuracy and eliminate overfitting.
Who this course is for:
- Anyone engaging in developing machine learning and deep learning skills.
This course includes:
- 7.5 hours of on-demand video.
- Ten articles.
- Full lifetime access.
- Access on mobile and TV.
- Certificate of Completion.
How to Subscribe Free Machine Learning Certification Course?
1. First Signup on Udemy.com
2. Subscribe Now(Free Practical Machine Learning by Example in Python Certification Course): Click Here
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