Customer churn classifier
Pre-process a customer dataset and compare Decision Tree, KNN and Logistic Regression using precision, recall and F-score.
Machine Learning Course Online from India
Learn the statistics and algorithms behind machine learning, and build classification, regression, clustering and neural-network models in Python and R. Live trainer-led classes for learners worldwide, with hybrid and 100% offline options in India.
Live online2 levels56–96 hYour time zone
01About the course
What you will learn in Machine Learning
Machine learning is a branch of artificial intelligence where a computer learns patterns from data instead of following fixed rules. You feed it past examples – sales, sensor readings, medical records, customer reviews – and it learns to predict, classify or group new data. The work rests on statistics and is written in languages such as Python and R, using open-source libraries. This page covers two programmes: one in Python and a longer one using both R and Python.
This page is for learners outside Vellore, Katpadi and Ranipet – NRIs, professionals in the Gulf and other countries, and students elsewhere in India who want Machine Learning taught live by a trainer.
Basic computer skills and school-level maths are needed. Some exposure to programming helps, but the course starts with Python (and R in the 96-hour course) from the basics.
At a glance
- 2 programme levels: 56–96 h
- Live online, hybrid or offline in India
- Projects assessed before certification
- Certificate from the Livewire network
- Batches fixed around your time zone
02Outcomes
Skills you will be able to show
- Write Python programs using data structures, functions, modules, file handling and exception handling
- Describe data with central tendency, dispersion, probability distributions and correlation
- Prepare and pre-process raw data for modelling
- Build classification models with Decision Tree, KNN, SVM, Naïve Bayes and Logistic Regression
- Build and compare Linear, Multiple, Poisson, Lasso and Ridge regression models
- Group data with hierarchical, k-means, k-Medoids and DBSCAN clustering and reduce dimensions with PCA
03Syllabus
Machine Learning syllabus by level
Every module and topic taught in the classroom batch is covered online. Open a level to see its modules.
Foundation level
Course on Machine Learning using Python
Students and professionals who want a focused 56-hour machine learning course in Python.
56 hours9 modules · 70 topicsCertificate: Livewire network
01Introduction and Python Essentials10 topics
Introduction to Machine LearningHistory and applications of Machine LearningIntroductory concepts of PythonData structuresControl flowFunctionsModules and packagesFile input and outputException handlingStandard libraries
02Statistics for Machine Learning10 topics
Preliminaries of statisticsStatistical data typesMeasures of central tendency and dispersionProbability theoryNormal distributionScatter diagramCorrelation analysisConfidence intervalT-distributionCase studies
03Model Evaluation and Pre-processing5 topics
Confusion matrixPrecisionRecallF-scoreData pre-processing
04Classification Algorithms8 topics
Decision TreeGINI indexEntropyK-Nearest Neighbours (KNN)Support Vector Machine (SVM)Naïve Bayes classifierLogistic regressionCase studies
05Regression Analysis11 topics
Regression analysisLinear regressionMultiple linear regressionRandom ForestPoisson regressionLasso and Ridge regressionZero-inflated regressionNegative binomial regressionMultinomial regressionSurvival analysisCase study
06Clustering and Dimension Reduction12 topics
Web extractionEuclidean distanceManhattan distanceHierarchical clusteringk-means clusteringk-MedoidsDBSCANPAMCLARADimension reductionPrincipal Component Analysis (PCA)Case study
07Text Mining and NLP4 topics
Word cloudIntroduction to text miningData extraction and NLPCase study
08Deep Learning Basics9 topics
Introduction to deep learningIntroduction to neural networksANN for classificationANN for regressionIntroduction to RNNDifference between ANN and RNNMethods and functions of RNNRNN algorithm writingRNN case study
09Projects1 topics
End-to-end machine learning project
Foundation level
Course on Machine Learning
Learners who want a deeper 96-hour course that teaches machine learning in R and then applies key models in Python.
96 hours10 modules · 78 topicsCertificate: Livewire network
01R Programming Foundations6 topics
Introduction to Machine LearningAbout R programmingInstalling RStudioWorking in RStudioDatasets and packagesFundamentals of R programming
02Descriptive Statistics5 topics
Preliminaries of statisticsData typesMeasures of central tendency and dispersionGraphical representationProbability theory
03Distributions and Inference11 topics
Normal distributionSkewness and kurtosisStandard normal distribution (Z-score)Q-Q plotBinomial and Poisson distributionScatter diagramCorrelation analysisConfidence intervalZ-distributionT-distributionCase study
04Model Evaluation5 topics
Pre-program preparationConfusion matrixPrecisionRecallF-score
05Classification Algorithms9 topics
Classification algorithmsDecision TreeGINI indexEntropyKNNSVMNaïve Bayes classifierLogistic regressionCase studies
06Regression Analysis11 topics
Regression analysisLinear regressionMultiple linear regressionRandom ForestPoisson regressionLasso and Ridge regressionZero-inflated regressionMultinomial regressionSurvival analysisWeb extractionCase study
07Clustering and Dimension Reduction12 topics
Introduction to clusteringEuclidean distanceManhattan distanceHierarchical clusteringk-means clusteringk-MedoidsDBSCANCLARADimension reductionPCAWord cloudCase studies
08Machine Learning with Python7 topics
Getting started with Python and packagesBasic statistics in PythonGraphical representation in PythonLinear regression in PythonLogistic regression in PythonHierarchical clustering in Pythonk-means clustering in Python
09Text Mining and Deep Learning11 topics
Introduction to text miningData extraction and NLPIntroduction to deep learningIntroduction to neural networksANN for classificationANN for regressionIntroduction to RNNDifference between ANN and RNNMethods and functions of RNNRNN algorithm writingRNN case study
10Projects1 topics
End-to-end machine learning project
04Tools covered
Software and tools you will use
PythonR and RStudioPython standard libraries and packagesR packagesClassification and regression algorithmsClustering algorithms and PCAConfusion matrix and evaluation metricsText mining and word cloudsArtificial Neural Networks (ANN)Recurrent Neural Networks (RNN)
We provide training and instruction only. Software and licences are not included; use your own licence, or an educational or trial licence where the software maker offers one. See our Software & Licensing Policy. Certificates are skill-training certificates, not degrees or professional licences.
05Projects
Practice projects
House price or sales forecast
Build linear and multiple regression models, then try Lasso and Ridge to see how regularisation changes results.
Customer segmentation
Group customers with k-means and hierarchical clustering and use PCA to visualise the clusters.
Review text analysis
Extract text, clean it and build a word cloud to find the most common themes in product reviews.
06How online works
How the Machine Learning course runs online
Pick the mode that matches where you are and what you can travel for.
Live online
Trainer-led sessions on your own computer. Same syllabus, project and certificate as classroom batches. Evening, early-morning or weekend slots in your time zone.
Hybrid
Part online, part in the lab. Take lab sessions at Vellore, Katpadi or Ranipet when you visit India, and the rest online. Depends on trainer and lab availability.
100% offline in India
Learn at our centres on any date that suits you and the trainer. Fast-track schedules possible. Partner-centre options in other cities are explored case by case.
07Class timings
Find your class time
Example slots for popular regions. Your exact timing is fixed with the trainer on WhatsApp.
| City | Slot | Your local time | India time (IST) |
|---|---|---|---|
| Dubai · Abu Dhabi | Weekday evening | 7:00 PM–9:00 PM | 8:30 PM–10:30 PM |
| Dubai · Abu Dhabi | Weekday early morning | 6:00 AM–8:00 AM | 7:30 AM–9:30 AM |
| Dubai · Abu Dhabi | Weekend morning | 9:00 AM–11:00 AM | 10:30 AM–12:30 PM |
Slots marked “late night in India” need the trainer’s confirmation. Final timings are fixed on WhatsApp based on trainer and student availability; any date and time can be arranged where a trainer is available.
| City | Slot | Your local time | India time (IST) |
|---|---|---|---|
| London · Manchester · Birmingham | Weekday evening | 7:00 PM–9:00 PM | 12:30 AM–2:30 AM (next day) late night in Indiawinter · summer: 11:30 PM–1:30 AM late night in India |
| London · Manchester · Birmingham | Weekday early morning | 6:00 AM–8:00 AM | 11:30 AM–1:30 PMwinter · summer: 10:30 AM–12:30 PM |
| London · Manchester · Birmingham | Weekend morning | 9:00 AM–11:00 AM | 2:30 PM–4:30 PMwinter · summer: 1:30 PM–3:30 PM |
Slots marked “late night in India” need the trainer’s confirmation. Final timings are fixed on WhatsApp based on trainer and student availability; any date and time can be arranged where a trainer is available.
| City | Slot | Your local time | India time (IST) |
|---|---|---|---|
| Singapore | Weekday evening | 7:00 PM–9:00 PM | 4:30 PM–6:30 PM |
| Singapore | Weekday early morning | 6:00 AM–8:00 AM | 3:30 AM–5:30 AM late night in India |
| Singapore | Weekend morning | 9:00 AM–11:00 AM | 6:30 AM–8:30 AM |
Slots marked “late night in India” need the trainer’s confirmation. Final timings are fixed on WhatsApp based on trainer and student availability; any date and time can be arranged where a trainer is available.
08By country
Machine Learning for learners in your country
09Pair it with
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Online details 10FAQ
Machine Learning online – FAQ
Still have a question? Message us on WhatsApp.
Ask on WhatsAppCan I learn Machine Learning online from outside India?
Yes. Machine Learning is taught live online by a trainer, with the same syllabus, hours and project as the classroom batch. Batches are planned around your time zone, subject to trainer availability.
How many hours is the Machine Learning course?
Machine Learning is offered at 2 levels (56–96 h): Course on Machine Learning using Python – 56 hours; Course on Machine Learning – 96 hours.
Do I need to buy the software?
We teach; we do not supply software. Use your own licence or an educational or trial licence where the maker offers one. Our Software & Licensing Policy explains the rules.
Can I attend some classes in person in India?
Yes. Hybrid and fully offline options are available at our Vellore, Katpadi and Ranipet centres on dates agreed in advance, depending on trainer and lab availability.
What does it cost?
Fees depend on the level and mode. Message +91 8111 029 125 on WhatsApp for the current fee and payment options for your country.
Will I get a certificate?
On completing the course and its project you receive the Livewire network certificate. It is a skill-training certificate, not a degree or a professional licence.
Start from anywhere
Get the Machine Learning syllabus, fee and next batch
Tell us your country and preferred time. We reply on WhatsApp with the syllabus, fee and the next available batch.
- Live online, hybrid or 100% offline in India
- Batches in your time zone, based on trainer availability
- Free counselling and a syllabus on WhatsApp
- One number for everything: +91 8111 029 125