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Models with Machine Learning and Python

Course Reviews

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop machine learning models using Python libraries like scikit-learn, TensorFlow, and Keras for real-world data analysis
  • Implement data preprocessing, feature engineering, and model evaluation techniques to improve machine learning accuracy in Python
  • Build and optimize deep learning neural networks with Python for tasks such as image recognition and natural language processing
  • Apply Python coding skills to develop scalable machine learning solutions for diverse industry applications
  • Utilize Python tools to visualize data, model performance, and insights for effective communication of machine learning results
  • Troubleshoot and fine-tune machine learning models in Python to enhance performance and reliability in practical scenarios

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 6


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Excellent
12 Reviews
Good
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4.7
17 Reviews
G.Anshu 

Good
2026-06-11

Tharuni Thummurugoti 

Good
2026-06-07

MOTIKE KAVYA 

Good
2026-06-07

Marupu.udayasree 

Good
2026-06-07

Thota Pavani 

Excellent
2026-06-06

CHIMATA MAHESHWARI 

Excellent
2026-06-02

Surisetty Sri Vyshnavi 

Excellent
2026-06-02

Rathlavath Divya 

Good
2026-05-28

Sai Shishira Sajjan 

Excellent
2026-05-24

Thirumala Nireekshana 

Good
2026-05-20

Rajulapati NavyaShree 

Good
2026-05-19

Keerthana Balabadra 

excellent
2026-05-19

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Most scientists have adopted Python for Machine Learning and Deep Learning projects, which means most of the brightest minds worldwide, can be found in Python communities. Fast development: Python has a syntax that is easy to understand and friendly .