Machine Learning Certification Course

  50% Theory - 50% Project Hands-On
  Live Industry Projects & Case Studies
UPCOMING BATCHES
Batch Type Days Start Date Timings
Weekend Sat,Sun 21-Nov'20 6:00 PM - 8:00 PM IST
Weekend Sat,Sun 28-Nov'20 6:00 PM - 8:00 PM IST

DEMO CLASS : LINEAR REGRESSION

Experience the Difference

DEMO CLASS : BIAS & VARIANCE TRADE OFF

Experience the Difference

"AI will add 2.3 million jobs by 2022"~ Gartner

Program Features

    "Artificial Intelligence is the New Electricity" ~ Andrew Ng

    Technology giants are rapidly migrating to an AI-ML world. The industry is getting disrupted. It is very obvious where tomorrow’s jobs are going to be. Upgrading your expertise in AI/ML is the best way to sustain your career growth and professional stability.
    Instructor led Live Online Course.
    Course Completion Certificate.
    Course mentored by Machine Learning experts having 15+ years of industry experience.
    EASY EMI OPTION: Pay in Two Equal Installments - 1st installment after the First Week and 2nd installment after 6 weeks.
    PARTICIPATE & WIN KAGGLE COMPETITIONS
    CRACK INTERVIEWS Learn How to Crack Machine Learning Interviews for a new job or within the same company.
    CHANGE YOUR DOMAIN Switch your career to Crack Machine Learning with in next 4-5 months with targetted preparation.
    Strong Theoratical + Practical Knowledge Become a expert Machine Learning Engineer who knows What,When and How?
    Sessions recording available to every student after each live session.
    Course starts from basic concepts and foundation classes and cober all advanced machine learning and AI concepts such as Begging & Boosting,XGBoost,Ensebmling and PCA/LDA.
    You will learn cutting-edge applications through live projects under guidance of industry experts.
    Job and Internship Assistance : Apply for suitable Machine Learning and AI profiles. At IT Bodhi you will get expert mentorship which will help you prepare for best of the industry jobs.
    You will get clear Career Path after course completion and would be able to crack Machine Learning Interviews soon after completion of the program.
    Coming from non IT Background and No prior expreience in Coding/Programming !! Do Not worry, we have dedicated modules that will help you acquire all the required skills in a very short duration.
    Skills : Machine Learning | Python | Deep Learning
    This course covers every bit of Mathematics, Statistics & Computer Science working behind complex algorithms and its applications.

Program Mentors

Ajay Sir from Oracle with 14+ years of industry experience
Gaurav Sir from BITS Pilani with 14+ years of industry experience

Who should take this course?

  • All working professionals who are looking to build a career in Machine Learning and Data Science
  • All students (B.Tech, BE, M.Tech, MS,MCA, MBA, PGDBM etc.) who want to learn Advance Machine Learning and start career in the most exciting & highest paid technology in the industry.

Program Details:

  • Program Duration : 12 Weeks - 24 sessions - 48 hours
  • Kaggle Live Projects and competitions
  • Weekly Assignments & Practice Projects
  • Session Length : 2 hours

Payment Plan

  • Register for the course (Make sure all the details given are correct).
  • Attend Demo Class and if you liked the demo class and want to continue, deposit 1st instalment of the Fee :
  • No Cost EMI Payment Options.
  • 1st Instalment of the Fee : ₹5,250/-After depositing the fee, ZOOM Link to attend further online classes will be shared on registred mail id.
  • 2nd Instalment of the Fee : After 6 Weeks.
Explore Program
Statistics for Machine Learning
  • Statistics and it's applications
  • Descriptive Statistics / Infernetial Statistics
  • Measures of Central Tendency - Mean,Median,Mode
  • Measures of Dispersion - Range,IQR,Standars Deviation,Variance,Corelation
  • Measures of Position - Percentiles,Quartiles,Z Score Deviation,Variance,Correlation,Covariance
  • Probability density function
  • Probability theory and Probability Distributions
  • Normal Distribution
  • Central limit theorem
  • Hypothesis Testing
  • Test Statistics
  • T-value
  • P-value
  • Hypothesis Test for Regression Slope
  • Mathematics for Machine learning
  • -Linear Algebra
  • -Multivariate calculus
  • -Probability theory and Probability Distributions
  • -Matrices, Eigen Vectors and their application for Data Analysis.
  • Computer Science & Algorithms: Matrix implementation
  • Functions and Graphs
  • Flow, Conditions & Loops, Variables, Operations, Funcations
  • Data structures (Array, Lists,Strings, Sets, Dictionary, Tuples, Series, Tensors)
  • Data Frame Manipulation and Data Visualization.( Metplotlib, Plotly)
  • What is Machine Learning – Examples and Applications
  • Numpy and Pandas Tutorial
  • Scikit Learn Tutorial
  • Machine Learning Algorithms
  • Cost Function
  • Metrics for Model Evaluation and Validation
  • Training and Testing
  • Model Overfitting-Underfitting
  • Bias & Variance
  • Gradient Descent Optimization & Learning Rate
  • Bias & Variance
  • Hyperparameters Tuning & Model Optimization
  • S2 Mini-Projects to understand and implement Machine Learning Basics
  • Data Wrangling
  • Data Pre-processing
  • Feature Selection
  • Feature Transformations
  • Outlier Detection and Handling
  • Handling Missing Values
  • Introduction to Supervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • Naïve Bayes Classifier
  • Bayesian Statistics and Inference
  • K-Nearest Neighbor
  • Support Vector Machine - SVM
  • One mini project hands-on for each algorithm
  • Introduction to Unsupervised Learning
  • K-Means Clustering
  • Agglomerative Hierarchal Clustering
  • Clustering using DBSCAN
  • Expectation–Maximization (EM) Clustering using Gaussian Mixture Models (GMM)
  • Clustering Mini-Project
  • Machine Learning on Google Colab/li>
  • PCA
  • LDA
  • Kernel PCA
  • SMOTE
  • k-fold Cross Validation
  • Grid Search
  • Bagging
  • ADA boost
  • XGBoost
  • Light GBM
  • Ensembling Techniques
  • Stacking
  • All ML algorithms will be covered with hands-on mini projects.
  • Capstone Projects:-
  • -Advance House price Prediction
  • -Loan Approval Classification
  • -Breast Cancer Detection
  • -Mushroom Classification
  • -IRISH Flower Multi Classification
  • -Wine Multi Classification
  • -Diabetes Prediction
  • -Titanic Survival Project
  • Credit Card Fraud Detection Project
  • -MNIST Digits Classification
  • Hackathons & Competitions
  • Introduction to Kaggle Platform and other Data Science Competitions
  • Kaggle and HackerRank project competitions for PrePlacement and Job offer.
  • Acing ML Interviews
  • -Booklet of all ML interview questions
  • -Showcasing and presenting ML projects in interviews?
  • -Do's-Dont's in interviews
  • -Interviews preparation
  • Resume Preparation
  • -How to make a impressive resume?
  • -Mention right ML Projects in resume
  • -A good & a Bad resume
  • Introduction to Deep Learning
  • Machine Learning VS Deep Learning
  • Introduction to Neural Networks
  • TensorFlow/Theano/Keras
  • Deep Neural networks
  • Image Classification Project using Deep Learning
  • Boston Housing Project using Deep Learning
"A breakthrough in machine learning will be worth ten microsoft's"~ Bill Gates
Mentor

Ajay Chauhan


From Oracle

Mentor

Gaurav Goel


From Oracle

Mode of Classes: Online ( ZOOM Meeting )

Summary

  Duration 48 Hours
  Pre-requisites Learning Aptitude
  Batch size 10
  Start Date 21-Nov-20
28-Nov-20
  Schedule Weekend - 2 Classes per Week
  Mode Online Live Sessions
  Instructor Experts from Oracle/Amazon
Need More Information,Please Write to Us

UPCOMING BATCHES & COURSE FEE

21-Nov'20

Start Date

Sat,Sun

Days

Feb'21

End Date

6:00 PM-8:00 PM IST

Timings

12 Weeks

Duration

48

Hours

2 Hours

Session

24

Lectures

Fee: ₹ 19,500 ₹ 10,500 inc. Taxes.




28-Nov'20

Start Date

Sat,Sun

Days

Feb'21

End Date

6:00 PM-8:00 PM IST

Timings

12 Weeks

Duration

48

Hours

2 Hours

Session

24

Lectures

Fee: ₹ 19,500 ₹ 10,500 inc. Taxes.

In case of college exams ,Talk to the Mentor and Plan course PAUSE & RESUME as per all student's convenience.

DEMO CLASS : LINEAR REGRESSION

Experience the Difference

DEMO CLASS : BIAS & VARIANCE TRADE OFF

Experience the Difference

Payment Options & Refund Policy

  • Payment Options

    BY NET BANKING
    A/C # 916020018356139 , IFSC Code : UTIB0001082
    A/C Name: BODHIRAGA EDUCATION SERVICES LLP
    Bank: Axis Bank | A/C Type: Current
    Send Transaction ID with Name & Phone at info@itbodhi.com

  • Fee Refund Policy

    First Week Classes are FREE Trial Classes. After the first week,student has to deposit the course fee as per the fee plan to continue with the course. Once student deposit the course fee, there will be no refund of any kind. In case of any genuine issue if student is not able to attend the classes in current batch than fee can be transferred to the incoming batch but valid for next 2 months only.

My Story

I did my Machine Learning Training from IT Bodhi. I can bet you that IT Bodhi is the best machine learning training institute in Delhi NCR. It is the best course for beginners as well as professionals who wants to dig deep into the algorithms and concepts of Machine Learning. Ajay Sir and Rajnish Sir are the best trainers who helped me on live projects. I am truly grateful to IT Bodhi for their guidance at every step and it is hard to find mentors like them.

Kartik Tyagi

Placed at Grofers as ML Engineer


Jaypee Institute of Information Technology


I am a Mechanical engineer and wanted to change my domain to ML/Data Science. Initailly learning 'Machine learing' and getting a job in this domian was a distant dream for me. Faculty at IT Bodhi are great mentors and in just 6 months I was able to learn Machine Learning and crack ML job interviews. Great environmnent of learning and support at IT Bodhi. Any student from non IT branch who wants to learn Machine Learning - Join IT Bodhi

Kuldeep Arya

Placed at Devnagari as ML Engineer


Amity University


It is hard to find words to express my gratitude to Ajay and Rajnish sir who made Machine Learning so easy to understand with practical implementation. Reached at expert level with right guidance and got placed as ML Engineer.Highly recommended to everyone who want to make career in Data Science and Machine Learning.

Navya Singh

Placed at TCS-Digital as ML Engineer


Jaypee Institute of Information Technology


Machine Learning was completely new for me and programming was not my cup of tea. I explored many institutes and finally chose IT Bodhi and it came out be the right decision. Now ML is my passion and I am quite a coder in Python. Lot of learning and good projects. Landed up in Capegemini and my journey is just started in to the world of Machine Learning.

Abhishek Jain

Placed at Capgemini


ABES Engineering College, Ghaziabad


Frequently Asked Questions

  • How much time will it take to be a Machine Learning Engineer?

    If you complete this cours in Machine Learning, you will definitely be able to apply and grab entry level data scientist and Machine Learning engineer roles at any product or service level companies.

  • Is this course personalized for me?

    Yes,definitely the course is personalized to each and every individual. In our regular classes, course mentors helps in clearing all the doubts and assignments and full assistance to complete E2E Industry project.

  • Is any specific programming language experience required?

    The Program will use Python libraries. The necessary python skills can be easily picked up by anyone with no or little programming experience. Basic Python classes are part of the program. Self learning material on Python for will also be made available.

  • I am from Non IT/CS Branch, will this program help me to get job in Machine Learning?

    Yes, definitely. After doing our courses, you will have sufficient theoretical knowledge to take machine learning interviews with hands-on experience in E2E industry project. Python is part of the program and Mentor will help you in learning programming basics and gradually you will be profecient in python as course progress. Python is very user friendly language and can be easily learned.

  • What happens if I miss a Class?

    It is recommended that you do not miss a class. In case it is unavoidable,session recording are always available for your reference and we would also try to conduct a special session to cover missed topics.

  • Will I get a certificate after completion of courses?

    Yes, Certificate will be given at the end of the course.