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Beginner to Advanced: Machine Learning Using Python
Learn Machine Learning using Python through live, hands-on training. Build real-world models and earn a Geeks Analytics certification.
4 Weeks
Duration
8 Modules
Curriculum
1 Capstone
Real Project Duration
Format
Live
Certified
On Completion
- Course overview
Machine Learning Using Python
Live Instructor-Led Training by Geeks Analytics
Build real-world machine learning models. Power your career with AI skills.
Master Machine Learning using Python through hands-on, instructor-led training designed to make you industry-ready. This program focuses on practical implementation, real datasets and project-based learning so you don’t just learn concepts, you apply them.
- Why Enroll in This Program?
- Live, interactive sessions with industry experts
- Hands-on coding using real-world datasets
- End-to-end machine learning project experience
- Job-oriented curriculum with practical focus
- Certification from Geeks Analytics
- What You’ll Learn
- Machine learning fundamentals & workflows
- Data preprocessing, feature engineering & EDA
- Supervised learning algorithms (Regression, Classification)
- Unsupervised learning (Clustering, Dimensionality Reduction)
- Model evaluation, tuning & optimization
- Python libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
- Basics of model deployment concepts
- Course overview
From raw data to a certified, job-ready workflow
Every stage of the toolkit, mapped out end to end – plus everything included along the way.
Start
Python Fundamentals
Setup & Environment,
Syntax, Variables,
Data Types
Syntax, Variables,
Data Types
Data Structures &
Algorithms
Algorithms
Lists, Tuples, Sets,
Dictionaries, Loops,
functions
Dictionaries, Loops,
functions
File Handling & Modules
Working with Files,
Built-in & Custom
Modules
Built-in & Custom
Modules
Data Analysis with Python
Pandas, NumPy,
Data Cleaning,
Visualization
Data Cleaning,
Visualization
Succeed
Real-World Projects
End-to-End Projects,
Problem Solving,
Case Studies
Problem Solving,
Case Studies
CERTIFICATION &BONUS
Also Included
Capstone Project
Mentor Support
LinkedIn Profile Optimization
Real Datasets
Job Assistance
- Curriculum snapshot
Eight modules, one working pipeline
- 01
Introduction to Machine Learning & AI
- 02
Python for Machine Learning
- 03
Data Cleaning & Exploratory Data Analysis
- 04
Regression & Classification Models
- 05
Clustering Techniques
- 06
Model Performance Metrics
- 07
Hyperparameter Tuning
- 08
Capstone Project
- GET IN TOUCH
Let’s Build Something Great Together
Have a question or need our expertise? Reach out to us, and let’s start a conversation.
- Capstone project
Build a complete Machine Learning Using Python workflow, end to end
Data Sourcing
Work on a real-world machine learning project covering:
Data Prep
Data preprocessing
Automation
Model building & evaluation
Business Output
Business insights & presentation
- Capstone project
Build a complete Machine Learning Using Python Workflow, end to end
- Key reasons
Why enroll in this bootcamp?
- 01
We Need You (Our USP)
Great brands are built on uncompromising quality education – not the other way around.
- 02
Job-Oriented Curriculum
Industry-aligned syllabus built around real business problems and in-demand tools.
- 03
Resume Building
Create a professional, ATS-friendly resume that highlights your skills, experience, and achievements.
- 04
Certification That Counts
Issued by Geeks Analytics as a mark of verified, job-ready competence.
- Head to head
Others Versus Geeks Analytics
What sets us apart? What are our USPs over our Competitors?
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Personalised Mentorship
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Structured Curriculum
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1:1 Doubt Clearing Session
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1:1 Project Engagement
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1:1 Doubt Clearing Sessions
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LinkedIn Profile Optimization
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We Need You (Our USP)
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- Skills That Matter!
Certification That Counts!
Issued by Geeks Analytics as a mark of professional competence
- Course fees structure
Virtual classroom experience
Interactive sessions that fit your schedule
Our live online learning combines expert-led instruction with real-time interaction to create an engaging and effective learning environment. With flexible scheduling and collaborative sessions, learners gain deeper insights, stay actively involved, and achieve better learning outcomes.
- Next Cohorts Starts: October 17, 2026
- Schedule (IST): 01:00 pm - 3:00 pm
- Format: Live · Online / Classroom
- Project: Capstone Included
- INR 40,000/- or USD 450/-​​
- Client feedback
Rated 5 of 5 across 500+ reviews
I used to struggle with connecting dashboards to KPIs in my day-to-day work, but the Data Visualization using Power BI course completely changed my perspective. Geeks Analytics helped me learn how to present insights effectively to end users through interactive dashboards, and I’m already noticing the impact in my workplace. Highly recommended!
Zalak M
Business Development Analyst at Bell
I’ve completed the Power BI Course with Geeks Analytics. It was a valuable learning experience where I gained hands-on skills in data cleaning, dashboard creation and using DAX to generate insights. The course was practical and well-structured, making it easy to apply concepts to real-world scenarios. Grateful to the team for their support!
Anoop S Hiraskar
Team Lead at [24]7.ai
I’ve successfully completed the Power BI course with Geeks Analytics. This journey helped me develop practical skills in data cleaning, building interactive dashboards and using DAX to derive meaningful insights. The course was well-organized and focused on real-world applications, making it easy to understand. Thankful to the team for their guidance!
Swati Yadav
Executive at vPersonalize Inc
- Live instructor-led training
Frequently asked questions
What will I learn in the Machine Learning Using Python course?
You will learn machine learning fundamentals, Python for machine learning, data preprocessing, exploratory data analysis, feature engineering, regression, classification, clustering, dimensionality reduction, model evaluation, hyperparameter tuning, and basic model deployment concepts.
Is this Machine Learning with Python course suitable for beginners?
Yes. The course follows a beginner-to-advanced approach, starting with machine learning and Python fundamentals before progressing to algorithms, model evaluation, optimization, and real-world projects.
Which Python libraries are covered in the machine learning training?
The training covers commonly used Python libraries for machine learning and data analysis, including NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
Does the Machine Learning course include hands-on projects?
Yes. The program includes hands-on labs, assignments, and a capstone project using real-world data. You will practice data preprocessing, model building, evaluation, and presenting business insights.
What machine learning algorithms will I learn using Python?
The course covers supervised learning techniques such as regression and classification, along with unsupervised learning methods including clustering and dimensionality reduction. You will also learn model performance evaluation and hyperparameter tuning.
What career opportunities can I pursue after Machine Learning training?
The training can help prepare you for roles such as Junior Machine Learning Engineer, Entry-Level Data Scientist, Data Analyst with ML skills, and AI/ML Associate by developing practical machine learning and Python skills.