edX
MOOC / Non-credit
0
Journey into Machine Learning with Sklearn and Tensorflow
About this course
Build practical machine learning skills with scikit-learn and TensorFlow, from data preparation and feature engineering to neural networks and model optimization.
C
59/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- practical skills in machine learning with scikit-learn
- data preparation techniques
- feature engineering methods
- understanding of neural networks
- model optimization practices
Course objectives
- build a solid foundation in machine learning
- develop the ability to implement machine learning algorithms
- learn to tackle real-world data challenges
Machine Learning
#python
#scikit-learn
#machine learning
#model optimization
#data science
#neural networks
#feature engineering
#tensorflow
#data preparation
#algorithm
$120.00
Price shown by edX — confirm on their site.
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