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🤖 AI & Data ScienceNewly launched · first batch enrolling

Machine Learning with PythonMachine Learning course online · live classes, certificate and placement support

From Data to Deployed Models

A practical machine learning course: data preparation, regression, classification, tree ensembles like XGBoost, clustering, model evaluation, feature engineering and an introduction to deep learning, finishing with deploying models as APIs. Built around real datasets and Kaggle-style projects.

  • Intermediate
  • 5 modules
  • 2 projects
  • Live online + 1:1
🎓 Certificate of completion

What's included

  • Live instructor-led online classes
  • Optional 1-on-1 mentoring track
  • 2 industry projects
  • Lifetime access to recordings
  • Certificate of completion
  • Mock interviews and placement support

What you'll learn

Machine Learning skills you'll master

By the end of this program you'll be able to:

  • Prepare and explore data with NumPy and Pandas
  • Build and tune regression and classification models
  • Use tree ensembles such as Random Forest and XGBoost
  • Apply clustering and dimensionality reduction
  • Evaluate models properly and avoid overfitting and leakage
  • Deploy trained models as APIs

Tools & technologies covered

  • Machine Learning
  • scikit-learn
  • XGBoost
  • Pandas
  • Feature Engineering
  • PyTorch basics
  • FastAPI

Syllabus

Machine Learning with Python course syllabus

5 modules · 25 topics · live training. Updated for 2026.

  1. 01

    Python & Data Foundations

    5 topics
    • NumPy & Pandas for ML
    • Exploratory data analysis
    • Visualisation with Matplotlib & Seaborn
    • Statistics refresher
    • Handling missing data & outliers
  2. 02

    Supervised Learning

    5 topics
    • Linear & logistic regression
    • k-NN, SVM & Naive Bayes
    • Decision trees & Random Forest
    • Gradient boosting: XGBoost & LightGBM
    • Handling imbalanced data
  3. 03

    Model Evaluation & Feature Engineering

    5 topics
    • Train/validation/test & cross-validation
    • Metrics: RMSE, precision, recall, ROC-AUC
    • Hyperparameter tuning
    • Feature engineering & selection
    • Pipelines in scikit-learn
  4. 04

    Unsupervised Learning & Deep Learning Intro

    5 topics
    • k-Means & hierarchical clustering
    • PCA & dimensionality reduction
    • Anomaly detection
    • Neural networks with PyTorch
    • Intro to NLP & embeddings
  5. 05

    Deployment & Capstone

    5 topics
    • Saving & versioning models
    • Serving models with FastAPI
    • Experiment tracking with MLflow
    • Monitoring model drift
    • Capstone: end-to-end ML project

Want the detailed Machine Learning syllabus PDF and batch timings?

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Is this for you?

Who should join this Machine Learning course

Ideal for

  • Graduates with basic maths
  • Python developers moving into ML
  • Data analysts upskilling
  • Working professionals targeting ML roles

Prerequisites

  • Basic Python programming
  • School-level statistics and algebra

After the course you can

  • Solve real problems with classical ML
  • Portfolio of end-to-end ML projects
  • Ready for ML Engineer / Data Scientist interviews
  • Foundation for deep learning and GenAI

How the training works

  1. 1

    Free demo

    Meet your trainer, see the teaching style and ask anything.

  2. 2

    Live classes

    Interactive online sessions with screen sharing and instant doubt clearing.

  3. 3

    Build projects

    Hands-on assignments and real-world projects reviewed by mentors.

  4. 4

    Get placed

    Resume review, mock interviews and job referrals to hiring partners.

Career outcomes

Jobs & salaries after the Machine Learning course

Typical roles and salary ranges in India for these skills.

Machine Learning Engineer

₹10 to 35 LPA

Companies hiring

  • Amazon
  • Flipkart
  • Swiggy
  • Fractal

Data Scientist

₹8 to 30 LPA

Companies hiring

  • Mu Sigma
  • Tiger Analytics
  • Walmart
  • American Express

Applied ML Analyst

₹6 to 16 LPA

Companies hiring

  • TCS
  • Infosys
  • Accenture
  • Genpact
Optional add-on · additional chargesFor working professionals

Already working? Add Machine Learning job support

Stuck on a real task at work? Alongside or after the course, get live one-on-one help from a senior Machine Learning engineer: debugging, guidance on your tickets and code reviews over screen share, scheduled around your shift.

  • On-demand

    For a single blocker or production issue

  • Part-time

    Weekly sessions with the same mentor

  • Full-time

    Daily help for a new job or big delivery

Job support is not included in the course fee and is charged separately based on the plan and hours.

❓ FAQ

Frequently Asked Questions

Common questions about Machine Learning with Python

Machine Learning with Python course fees are shared on request, with flexible and EMI-friendly options, and depend on whether you choose the live batch or the 1-on-1 track. Call +91 9180377502 or WhatsApp us for current fees and offers.

This is a intermediate level course designed for: Graduates with basic maths, Python developers moving into ML, Data analysts upskilling, Working professionals targeting ML roles. If you're unsure whether you're ready, attend a free demo class and the trainer will assess your level.

Yes. You receive a Prakalpana certificate of completion after finishing the program and its 2 projects. The projects you build also go on your resume and GitHub.

Yes, as an optional add-on at additional charges. If you are already working and stuck on real tasks, a senior Machine Learning engineer can help you live over screen share with debugging, ticket guidance and code reviews, on-demand, part-time or full-time. Job support is not included in the course fee; WhatsApp +91 9180377502 for charges.

We run weekday and weekend live batches in IST to suit students and working professionals, plus batches timed for international time zones. The 1-on-1 track is scheduled around your availability.

In this course, you will learn: Prepare and explore data with NumPy and Pandas, Build and tune regression and classification models, Use tree ensembles such as Random Forest and XGBoost. The course covers 5 comprehensive modules.

The prerequisites for this course are: Basic Python programming, School-level statistics and algebra. If you're unsure about your current level, book a free demo session and our counselors will guide you.

The Machine Learning with Python course is taught through live, hands-on online sessions. You'll work on 2 real-world projects. You also get lifetime access to all recordings and materials.

This course is taught live by experienced industry professionals who work hands-on with these technologies every day. You learn current, real-world practices with live mentorship, code reviews and an optional 1-on-1 track.

After completing the Machine Learning with Python course, you can apply for roles like: Machine Learning Engineer (₹10 to 35 LPA), Data Scientist (₹8 to 30 LPA), Applied ML Analyst (₹6 to 16 LPA). Our students have been placed at companies like Amazon, Flipkart, Swiggy.

Yes! We provide comprehensive placement assistance including resume building, LinkedIn profile optimization, mock interviews (technical + HR), coding round preparation, and direct job referrals to our network of 100+ hiring partners. Our placement rate is 95%.

Yes, all training is 100% live online, with an optional 1-on-1 (1:1) track. You get live interactive sessions, screen sharing, instant doubt resolution, recorded sessions for revision, and full placement support.

All our courses are non-refundable. We encourage you to attend a free demo session before enrolling to ensure the course is right for you. In exceptional cases, one-time batch transfer may be allowed with management approval.

Still have questions?

Machine Learning course online: live classes, certification & placement support

Prakalpana's Machine Learning with Python program is a complete Machine Learning course online, also searched as ML, Machine Learning with Python, Applied Machine Learning, scikit-learn. Every batch is taught live by working engineers, with a 1-on-1 option, real projects, lifetime recordings and a certificate of completion.

It is built for freshers, career switchers and working professionals who want to become a machine learning engineer, data scientist, ML engineer. The Machine Learning syllabus covers fundamentals through advanced topics, followed by mock interviews, resume reviews and placement support.

Machine Learning course: quick facts

Machine Learning course fees

Fees are shared on request and depend on the live batch or 1-on-1 track, with flexible, EMI-friendly options. Call or WhatsApp +91 9180377502 for current fees.

Machine Learning online classes

Live online training across 5 modules, with an optional 1-on-1 track and lifetime access to recordings.

Machine Learning course syllabus 2026

Covers Python & Data Foundations, Supervised Learning, Model Evaluation & Feature Engineering, Unsupervised Learning & Deep Learning Intro and more, updated for 2026.

Machine Learning certification

Earn a certificate of completion after the course and its 2 hands-on projects.

Machine Learning course for beginners & working professionals

Intermediate level. Weekday and weekend live batches, plus a 1-on-1 track timed around your job.

Machine Learning jobs & salary in India

Roles like Machine Learning Engineer, Data Scientist, Applied ML Analyst. A Machine Learning Engineer typically earns ₹10 to 35 LPA.

Questions about the machine learning course or the next batch? Book a free demo class or call / WhatsApp +91 9180377502.

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Not sure what to learn next?

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  1. 1Discuss your goals
  2. 2Get a personal plan
  3. 3Start learning
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