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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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60 Reviews

Abhishek Nimaje

Excellent 
2026-07-01

Ikram Ullah

Best
2026-06-23

Mohammad

Highly recommended for beginners. Thanks!
2026-06-04

Durga S

Good
2026-06-04

Thejaswini H

Good
2026-05-21

Vishwas Chaudhary

great
2026-05-19

Jayashree

Good
2026-05-17

Apeksha dravid

Good
2026-05-15

Deekshitha

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2026-05-15

Nishit Agrawal

excellent
2026-04-20

Deepesh Kumar

NIce
2026-04-17

SHREYAS PATIL

Good
2026-04-15

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