Students who take Machine Learning with Python Training learn how to use Python to build, train, and test machine learning models. To solve real-world predictive analytics problems, you need to be able to use libraries like NumPy, Pandas, Matplotlib, and Scikit-learn.
Level
Advanced
Duration
8 weeks



.png)



















.png)
















This Machine Learning with Python Training gives you a solid understanding of machine learning ideas and how to use them. Participants will learn how to use supervised and unsupervised learning, how to evaluate models, how to engineer features, and how to optimize. The training includes hands-on coding for data preprocessing, regression, classification, clustering, and ensemble models. At the end of this program, students will be able to make ML models that can help businesses make decisions and learn more about their customers.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Machine Learning & Python Basics
Understand ML fundamentals and Python environment setup.
No related courses found




Can't find a batch you were looking for?
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Scenario: Engineered a machine learning system using Python to predict ad click probability by analyzing search behavior signals, user demographics, and campaign metrics.
Scenario: Built a Python based machine learning forecasting model to analyze seasonal sales patterns, warehouse stock levels, and optimize supply chain demand planning.
Scenario: Developed a Python driven machine learning solution to detect abnormal cloud login behavior, analyze security logs, and classify potential cyber threats.
Scenario: Implemented a Python machine learning model to study viewer session patterns, engagement metrics, and predict subscription retention probability.

Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
Is this training suitable for beginners in Machine Learning?

C-2, Sector-1, Noida, Uttar Pradesh - 201301
LVS Arcade, 6th Floor, Hitech City, Hyderabad