Demo Batch
IEVISION BHANDARKAR ROAD :

Machine Learning

  • 1000+ Students Trained
  • 15+ Years of Experienced Trainers
  • 100% Placement Assistance
  • 100% Practical Oriented Training
  • Live Projects
  • Dedicated Recruitment Team
CLASSROOM TRAINING VIEW DATES

LIVE VIRTUAL VIEW DATES

GROUP/CORPORATE BOOK SESSION

UPCOMING BATCHE(S) IN "PUNE" (change city)

Date Time Course Type Price Option

Module 1: Introduction to Machine Learning
The history of artificial intelligence. 
How machine learning fits into the picture.
Importance of machine learning. 
The various algorithms in machine learning. 
How machine learning is changing various industries.
 
Module 2: Various techniques of Machine Learning
The various techniques of machine learning like supervised.
Unsupervised and reinforcement learning. 
The various aspects of bias and variance trade-off.
Representation learning.
 
Module 3: Mathematics of Machine Learning
The fundamentals of machine learning mathematics.
The various algorithms used in machine learning.
The concepts of statistics.
Various aspects of calculus.
Probability and statistics.

Module 4: Preprocessing of data
Preparing data for machine learning.
The aspects of feature engineering. 
Dimensionality reduction.
Data sets and feature scaling.

Module 5: Supervised learning techniques
The importance of supervised learning in machine learning.
Parametric and non-parametric algorithms. 
Neural networks. 
Kernels for pattern analysis
Module 6: Introduction to regression
The various types of regressions. 
Linear regression. 
Random forests. 
Gradient descent.
Decision tree regression. 
Regularization.
 
Module 7: Techniques of classification
Introduction of classification. 
The various techniques of classification like logistic regression. 
Support Vector Machines. 
K-Nearest Neighbor. 
Naïve Bayes. 
Decision Tree Classifier. 
Random Forest Classifier.

Module 8: Unsupervised Learning
The introduction to unsupervised learning.
The various techniques used in unsupervised learning like clustering.
K-Means Clustering.

Module 9: Introduction to Deep Learning
How deep learning differs from machine learning.
Artificial neural networks with multiple layers. 
Introduction to Tensor Flow for building neural networks. 
Back propagation algorithm in neutral networks.

Industry Expert and working professional Trainers
90% Practical Oriented Training
Live Project Experience
Latest Courseware
Professional Resume Building for freshers
Special Focus on communication skills enhancement
Excellent Training Facility with Lab Room
Professionally Trained Support Staff
Dedicated HR - Recruitment Team
200+ Corporate Tieup
100% Placement Assistance

We Make Fresher, industry-ready software professionals
Hands on Project Experience exposures in the Lab session
Real Time case studies to practice
Free Technical Support after Course Completion
Back up Classes Available
LAB Facility 
Free Wi-Fi to learn subject
Latest Study Material
Fast Track and Normal Batches available

REVIEWS



Suraj Tomar at

Very well structured with good hands on experience. Knowledge of trainer is excellent.

Vineeth Rajguru at

It was amazing experience. I really liked the course. The way the trainers explained the concepts were too good.Overall it was great experience. The course will really help the beginners to gain knowledge. Cheers to the team.

Anjum Bohra at

The course is quite good to understand ML in simplistic sense. I will definitely recommend this course to persons who want to develop their skills in ML.

Vinod Shetty at

Overall a great course! 

Renuka Desai at

The training was extremely informative & valuable. The hands on & practical approach helped in the overall Understanding of the subject .Attending the training as a good start to getting deeper into subject as concepts are clear.

FREQUENTLY ASKED QUESTIONS

Yes, We provide 100% Job Assistance to all IEVISION students. 
A dedicated HR – Recruitment members are designated to assist you in preparing your professional resume building, guiding you on HR Interview Process, Sending your resumes to corporates and assist you till you get placed.
Since last 6 years, IEVISION Students are placed in many countries and most of the MNC companies in India.

After course completion, Participation Certificate will be awarded.  We do also support in getting the Global Certification, Please connect with our support staff and you will be assisted.

We are operating from central location in Pune. Visit Contact us www.ievision.in  
IEVISION Representative will be happy to assist you. +919604642000 & +919604647000 or email us at info@ievision.in

Yes, we do provide demonstration sessions for all Technology Courses. Demo lectures are delivered by real trainers who have years of Industry Experience. You can clear all your doubts about the training course, courseware, training approach, live projects, job placement, fees, installments and over all association.
IEVISION Trainers are working professionals, highly experienced, certified on various levels on particular technologies with hands-on industry experience. Trainers are motivated to build the strong technical capability of students to achieve their objectives in life.
Yes, IEVISION provide 100% Practical Oriented training and students will be working on minimum 2 live projects.
Batch size is kept limited for effective delivery of training program. Based on training program, 5 - 15 students are adjusted in a batch.
We do provide batch change option. Please contact our support staff for more information about upcoming batches.
Yes, IEVISION provide the latest courseware in the form on Hardcopy, PDF and PPTs. 
IEVISION facility is fully equipped with required Hardware & Software. You are allowed to use your laptop & required software shall be assisted.

If you miss any session, you can attend classes in any other running batch or next upcoming batch. Please contact our Counsellor for more information about running batches

Yes, 5% discount is provided for Lump sum payment.

Yes, IEVISION provide installment facility based.
IEVISION accept payment through various mode Online Trasfer, Cheque, Cash, Credit Card, Debit Card and Demand Draft.