Python and Machine Learning
Complete Combo — Python Programming Mastery and Hands-On Machine Learning with scikit-learn and TensorFlow 55+ hours of hands-on training.

55+
Hours
8
Modules
18
Topics
Beginner-Friendly
Level
New
Batches weekly
About Python and Machine Learning
Complete Combo — Python Programming Mastery and Hands-On Machine Learning with scikit-learn and TensorFlow
In this course, you will: Write clean, efficient Python code using modern Python 3.x syntax and best practices; Manipulate and analyze data using NumPy, Pandas, and data cleaning workflows; Create insightful visualizations using Matplotlib and Seaborn.
What This Training Covers
The Python and Machine Learning programme at Tutorsbot spans 55+ hours across 8 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Python industry expectations and hiring patterns.
Enrollment & Training Quality
Python and Machine Learning is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
8 modules · 18 topics · 55 hrs
01Python Programming Foundations
9 topics
Python Programming Foundations
9 topics
- Python installation, virtual environments, Jupyter Notebooks, and VS Code setup
- Variables, data types — int, float, str, bool, NoneType, and type conversion
- Operators — arithmetic, comparison, logical, bitwise, and assignment operators
- Control flow — if/elif/else, for loops, while loops, and comprehension syntax
- Functions — def, arguments, default values, *args, **kwargs, and return values
- Python data structures — lists, tuples, sets, and dictionaries with operations
- String manipulation — slicing, formatting, regex basics with re module
- File I/O — reading/writing CSV, JSON, and text files with context managers
- Hands-on: Build a data processing CLI script from scratch
02Object-Oriented Python and Advanced Features
9 topics
Object-Oriented Python and Advanced Features
9 topics
- Classes and objects — __init__, instance methods, class methods, and static methods
- Inheritance, polymorphism, and method overriding
- Special methods — __str__, __repr__, __len__, __eq__, and __iter__
- Decorators — function decorators, @property, and chaining decorators
- Generators and iterators — yield, generator expressions, and lazy evaluation
- Context managers — with statement, __enter__/__exit__, and contextlib
- Error handling — try/except/finally, custom exceptions, and exception chaining
- Modules and packages — import system, __init__.py, and organizing code
- Hands-on: Build an object-oriented data pipeline with custom exception handling
Data Analysis with NumPy and Pandas
0 topics
5 more modules available
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Enrol in This Course
Same curriculum & certification across all formats. Updated Apr 2026.
Online Live
Save ₹2,500Live instructor-led sessions from anywhere, with recordings for catch-up.
EMI from ₹2,083/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every Python and Machine Learning batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire Python and Machine Learning Talent from Tutorsbot
Companies hiring Python and Machine Learning talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about Python and Machine Learning, answered by our training experts
1Who should take Python and Machine Learning?
2Does Python and Machine Learning include a certificate?
3Is placement support included with Python and Machine Learning?
4How long does Python and Machine Learning take to complete?
5What is the mode of delivery for Python and Machine Learning?
6Can I get a free demo class for Python and Machine Learning?
7What kind of projects will I work on in Python and Machine Learning?
8What if I miss a class?
9Is Python and Machine Learning worth it for experienced professionals?
10What is the refund policy for Python and Machine Learning?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to Python and Machine Learning materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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