MACHINE LEARNING COURSES
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Course covers essential Python/R, machine learning algorithms, Deploying Machine Learning Models
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Intensive 6 days/3 weekends Classroom/LVC Training and 3 months LIVE Project mentoring.
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Unlimited access to Data Science Cloud Lab for practice
4.9 (22,945) reviews
Accredited by
3+ Live
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Skill AI
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MACHINE LEARNING CERTIFICATION AUTHORITIES
Live Virtual
Instructor Led Live Online
₹55,221
NASSCOM® Certification
5-Month | 350 Learning Hours
100-Hour Live Online Training
20 Capstone & 1 Client Project
365 Days Flexi Pass + Cloud Lab
Internship + Job Assistance
MACHINE LEARNING COURSE FEE
Blended Learning
Self Learning + Live Mentoring
₹32,505
Self Learning + Live Mentoring
NASSCOM® Certification
1 Year Access To Elearning
20 Capstone & 1 Client Project
Job Assistance
24*7 Leaner assistance and support
Most Advanced Machine Learning Training Course That Cover All In-demand Tools & Technologies
Financing Options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Pay In Installments, as low as
We have partnered with the following financing companies to provide competitive finance options at as low as
0% interest rates with no hidden cost.
Admission Closes On : 31st December 2025
WHY SKILL AI INSTITUTE FOR MACHINE LEARNING COURSES
Expert Trainers
PH.Ds AND INDUSTRY EXPERTS
ELITE FACULTY FROM PRESTIGIOUS
UNIVERSITIES WITH DEEP RESEARCH
AND COACHING EXPERTISE
Specialized Syllabus
SPECIALIZED SYLLABUS FOR MANAGERS
PERSONALIZED COUNSELLING FOR CAREER
ENHANCEMENT IN MANAGERIAL ROLES
FOCUSED ON DATA SCIENCE FOR DECISION MAKING,
MANAGING DATA SCIENCE PROJECTS WITH ESSENTIAL TECHNICAL OVERVIEW
Career Guidance
EXPERT COUNSELORS
TECHNIQUES FOR SCENARIOS WITH CERTAINTY,
LOW UNCERTAINTY AND HIGH CERTAINTY FROM
DECISION TREE TO MONTE CARLO SIMULATION
5 Case Studies
PRACTICAL DECISION-MAKING CASES
SYLLABUS OF MACHINE LEARNING COURSES
Foundation :
Machine Learning Introduction: Supervised and Unsupervised Learning
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Linear Regression Theory
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Linear Regression Programming with R
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Working on Case Study
Multiple Linear Regression
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Theory behind multiple linear regression
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Multiple Linear Regression with R
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Working on Case Study
Decision Tree:
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Theory Behind Decision Tree
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Decision Tree with R
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Working on Case Study
Naive Bayes:
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Theory behind Naïve Bayes classifiers
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Naive Bayes Classifiers with R
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Working on Case Study
Support Vector Machines
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Theory behind Support Vector Machines
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Support vector machines with R
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Improving the performance with Kernals
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Working on Case Study
Association Rule:
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Theory behind Association Rule
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Working on Case Studies
Expert:
Neural Net:
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Artificial Neural Network
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Connection Weights in Neural Network
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Generating Neural Network with R
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Improving Neural Network Accuracy with Hidden Layers
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Working on Case
Random Forest:
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Theory behind Random Forest
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Random Forest with R
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Improving performance of Random Forest
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Working on Case Study
Recommendation Engine:
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Theory behind Recommendation Engines
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Working on Case Study with R
Dimension Reduction:
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Theory behind Recommendation Engine
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Working on Case Studies
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Popular Machine Learning Algorithms
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Clustering, Classification and Regression
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Supervised vs Unsupervised Learning
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Choice of Machine Learning
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Simple and Multiple Linear Regression
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KNN etc...
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Theory of Linear Regression
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Hands on with use Cases
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Naïve Bayes for text classification
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New Articles Tagging
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K-means Clustering
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Tuning with Hyper Parameters
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Popular ML Algorithms
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Clustering, Classification and Regression
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Supervised vs Unsupervised
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Choice of ML Algorithm
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Ensemble Theory
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Random Forest Tuning
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Simple and Multiple Linear regression
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KNN
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Text Processing with Vectorization
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Sentiment analysis with TextBlob
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Twitter sentiment analysis.
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Basic ANN network for regression and classification
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Tensorflow work flow demo and intro to deep learning
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