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Machine Learning Programming from zero

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop practical skills in Python programming for machine learning applications using real-world datasets and libraries like scikit-learn and TensorFlow
  • Implement supervised and unsupervised machine learning algorithms to solve classification, regression, and clustering problems effectively
  • Apply data preprocessing, feature engineering, and model evaluation techniques to improve machine learning model accuracy and robustness
  • Design and deploy machine learning models for predictive analytics in various industries such as finance, healthcare, and marketing
  • Troubleshoot common issues in machine learning workflows, including overfitting, underfitting, and data imbalance challenges
  • Utilize version control and best coding practices to develop scalable, reproducible machine learning projects in collaborative environments

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Lessons | 6


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4.4
13 Reviews

Аяна Калдыбаева

excellent
2026-02-10

Санжар Сапар

excellent
2026-02-10

Seddik regaieg

Very good one
2026-02-06

Lakshita Bhagwani

.
2026-01-31

Anjali Chouhan

Good
2026-01-19

Shams Ul hassan

very good
2026-01-08

Khan Mashook

The Machine learning are little bit a tough but u will understand easily after this section or course
2025-12-30

ANUJ RAJ

good and excellent explanation
2025-12-03

Diksha Dumka

good
2025-11-09

Ashok

great
2025-11-07

Adam Mohamed Osama Mohamed

Good but need more practicality
2025-09-06

Murtaza Hussain

great
2025-07-13

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Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence .