Machine Learning Course
Advanced certification program in ML
13 weeks Instructor-led & Online training
Upcoming batches
Weekend: 23rd Jan | Weekdays: 01st Feb
6 Reasons why you should consider this program
Instructor-led & Interactive
You will learn from expert trainers who are capable of making learning tech simple, engaging & fun.
Individual attention & Inspiring peers
You will get individual attention from trainers & you get to network with peers from industries.
Most affordable premium course
You get the learning experience of a premium course at a pocket friendly cost.
Active trainer support
Trainers will ensure complete understanding of concepts & help with doubts actively.
Work on 15+ real time problems
You will work on 15+ real world problems. Trainers will assist you with the projects.
IIT Madras Incubated Startup
We are an IIT Madras Incubated startup founded by Alumni of IIT Madras under the guidance of faculty members from IITM.
Curriculum
The curriculum for this course was designed in association with Hyperverge.
Dummy
Week 1: Linear Regression
– What is Artificial Intelligence
– Machine Learning & Types
– Fundamentals of Python
– Data Preprocessing in python
– Defining a Model
– Error Calculation
– Gradient Descent Algorithm
Problem: Predicting Housing Prices based on the size of the house using Gradient Descent Algorithm
Week 2: Logistics Regression (Classification)
– Classification problem
– Data Preprocessing
– Defining a Model
– One vs. All
– Error & Accuracy Calculation
– Gradient Descent Algorithm
– Prediction
Problem: Handwritten Digit Recognition using Gradient Descent Algorithm
Week 3: Multi variate Linear Regression
– Introduction to Scikit Learn
– Label Encoding
– Data Preprocessing
– Gradient Descent Algorithm, TNC
– Regularization Parameter
– Hyperparameter Grid Search
– Bias, Variance, Accuracy, Precision
Problem: Solve Kaggle Datasets
Week 4: K Nearest Neighbour
– What is KNN?
– Example KNN Problem
– Defining the Objective function
– Optimize Objective function
– Prediction & Accuracy
Problem: Online shoppers’ buying intention.
Week 5: Decision Tree & Random Forest
– What is Decision Tree?
– Calculating Entropy
– Calculating Information gain
– Gini Index
– Objective Function
– What is Random Forest & Bagging?
– Advantages of using Random Forest
– Pruning
– Objective Function
– Prediction & Accuracy
Decision Tree Problem: Depending on the weather predicting the possibility of playing cricket
Random Forest Problem: Behavioral Risk factor Surveillance System
Week 6: Naive Bayes
– NLP Basics
– N Gram Model, Bag of Words
– TF-IDF Vectorisation
– Bayes Theorem
– Multinomial & Bernoulli Naive Bayes
– SMOTE
– Prediction & Accuracy
Problem: Building a spam classifier
Dummy
Week 7: Ensembles
– What is Gradient Boosting?
Xgboost
– Algorithmic Enhancements
– System Optimization
– Objective function
– Prediction & Accuracy
Adaboost
– Objective function
– Prediction & Accuracy
Problem: Indian Pima Diabetics Prediction
Week 8 & 9: Support Vector Machine (SVM)
– What is SVM?
– Intuition Behind SVM
– Defining the Objective function
– Optimize Objective function
– Kernels
– Prediction & Accuracy
– HOG SVM
– Sliding Window technique
– OpenCV
– Optimisation
Problem: Solving MNIST dataset, Facial Recognition
Week 10: Assessment & Project
– Telecom Customer Churn Prediction
– Insurance Claim Fraud Detection
– Gold Price Prediction
– Credit Card Fraud Detection
– Natural Scene Text Detection
– IDB – Income Qualification Prediction
Week 11: Neural Networks
– What is Neural network?
– Defining a Model
– Back Propagation Algorithm
– Classification Problem
Problem: Solving Fashion MNIST dataset
Week 12: Unsupervised Learning & K Means
– K Means Clustering
– Hierarchical Clustering
– K Means for non-separated clusters
– Principle Component Analysis
Problem: Movie Recommendations
Week 13: Projects
– Capstone Project
– Kaggle Competitions
– Carrer Guidance & Mentorship

HyperVerge, Inc. is a Silicon Valley based AI company. Our AI models for real time image and video analysis lead the market on accuracy (99.5%) and recall (99.3%) values, and are optimized for deployments in low bandwidth environments.
Deep-learning networks built by HyperVerge are powering applications for large enterprise clients in Financial Services, Telecom, Energy, Security, and Defense.
OUTCOMES
Skills you will learn
Skills required to be an ML Developer
You will learn & master ML from fundamentals and eventually gain all skills required to be an ML developer.
Python Programming
You will work with python programming & create ML models during the course.
Clear understanding of ML algorithms
You will get a clear understanding about all ML algorithms & will be confident to apply on real world problems.
Math behind algorithms
You will learn the math behind algorithms and that would help you optimize & improve the efficiency.
Predictive Analytics & Statistics
You will become an expert with predictive analytics & also learn the necessary statistics concepts.
Data Cleaning & Preprocessing
You will start from scratch and learn how to clean any given data & do preprocessing to make sure it fits to your ML model.

How
How the classes happen?
Live sessions with trainers
Live classes will be conducted by our trainers for 13 weeks on Google Meet.
Assignments
You will be given assignments after each week to make you understand the concepts & solve problems effectively.
Recorded Sessions
You will also get access to recorded sessions to refer in the future.

Who can attend?
- Engineers & Executives
- Software/ IT / Data Professionals
- Engineering students/Professors
- Hobbyists

Prerequisites
- No Prerequisites. All programming & math concepts will be taught from basics.
- Should be ready to commit to rigorous training and learning

Class Duration
- Weekdays – 2 hours each session on 3 days a week for 13 weeks.
- Weekends – 3 hours each session & 2 session per week for 13 weeks.
Course Fees
Rs. 17,000/-
(Fee is inclusive of 18% GST)
Upcoming Batches
Weekend Batch starts on
Jan 23rd, 2021 (Sat & Sun Only)
Weekdays Batch starts on
Feb 01st, 2021 (Mon, Wed & Fri)
Fee Inclusions
- 13 weeks of online training
- Access to our e-Learning portal
- Project Guidance & Mentorship
- Certification
- 18% GST
Infrastructure Requirements
- Good Internet Facility
- Windows or Mac with decent specification
Limited slots per batch. Get yours before it gets filled!
TESTIMONIALS
What Our Students Say
Upcoming Batches
Weekend Batch: 23rd Jan 2021 (Sat & Sun Only)
Weekdays Batch: 01st Feb 2021 (Mon, Wed & Fri Only)
Frequently Asked
Should I have any programming knowledge to join this program?
Not necesarrily. You will learn python programming during the course from basics. However basic knowledge on anyone of the programming language would help.
I'm a beginner in ML. Can I join?
Yes. This course is designed considering all the participants are beginners. It starts from fundamentals and at the end of the course you will be an expert in solving ML problems.
How to register for this program?
You can register online through our website by paying an advance fee of Rs.2000 and get your slot.
How should I pay the course fee?
After registering online, the balance fees can be paid in two installments.
– 1st installment when the course begins
– 2nd installment after a month
What if I miss one or two classes due to emergency?
It is recommended not to miss any class. However if you miss any class due to unavoidable reasons, you can compensate that with the recorded session videos.
Will I get any support even after the 13 weeks?
Yes. You can get in touch with our trainers & mentors for any projects and job assistance. We would be happy to help!
Have any queries?
Submit your details below. Our team will reach out to you & help!