Machine Learning with Python

Start your career as a Machine Learning Engineer

6 weeks: 18 Classroom Lectures (36 Hours) with 4 Mini Projects
2 Weeks: E2E Industry Project & Kaggle Competitions


Start Date Days Timings
17-Feb-20 Mon, Tue, Wed 6:00 PM - 8:00 PM

Download program brochure

"AI will add 2.3 million jobs by 2020" ~ Gartner
Program Features

    "Artificial Intelligence is the New Electricity" ~ Andrew Ng

  • Training Certificate
  • Course mentored by Industry Machine Learning experts
  • Internship opportunity at IT Bodhi
  • Program is specifically designed for college students who are looking for a lucrative career in premier domain of machine learning.
  • You will learn about fundamentals of Machine Learning, data wrangling techniques, feature engineering and gain practical knowledge by implementing algorithms in your real time projects.
  • Avanced machine learning and artificial intelligence concepts such as Neural Networks,Deep Learning.
  • Apply for suitable Machine Learning job and internship and you will get expert mentorship which will help you prepare for best of the industry jobs.
  • This course covers every bit of Mathematics, Statistics & computer science knowledge required to understand complex algorithms and its applications.
Program Mentors
Ajay Sir from Oracle with 14+ years of industry experience
Who should take this course?
  • All students who want to learn Machine Learning from scratch with strong foundation, clear mathematical concepts & practical implemetation of all Algorithms.
  • Engineering students B.Tech ( any branch )
  • Postgraduate students MCA,MBA, PGDBM etc.
  • Graduate students BCA,BBA etc.
  • Entry level working professionals who are looking to build a career in Data Science and Machine Learning.
Program Details:
  • Take first weekend classes as FREE TRIAL Class and experience the wonderful journey in to the world of Machine Learning.
  • Program Duration : 6 Weeks : 18 Classroom Lectures (36 Hours) with Mini Projects
    2 Weeks : E2E Industry Project
  • Course Schedule : Weekday Course and Classes would be conducted on Mon, Tue & Wed at 6:00 - 8:00 PM
Explore Program
Machine Learning Foundation
  • Python for Data Analysis: Get acquainted with Data structures, Object Oriented Programming, Data Manipulation and Data Visualization in Python.
  • 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/ Data Structures & Algorithms
  • Introduction to Cloud Computing and AWS
  • Functions and Graphs
  • Statistics and it's applications
  • Hypothesis Testing
  • 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
  • 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
  • Introduction to Deep Learning
  • Machine Learning VS Deep Learning
  • Introduction to Neural Networks
  • TensorFlow/Theano/Keras
  • Deep Neural networks
  • Forward propagation
  • Back Propagation Learning
  • Activation Functions
  • Loss Functions
  • Hyperparameter Tuning
  • DropOut Regularization
  • Batch Normalization
  • Early Stopping
  • Vanishing & Exploding Gradient Descent
  • Optimization Algorithms
  • - Gradient descent with momentum
  • - RMS Prop
  • - Adam
  • k-fold Cross Validation
  • Grid Search
  • Bagging
  • Ensembling Techniques
  • All ML/DL algorithms will be covered with hands-on mini projects
  • 4 mini projects
  • Deep Learning Projects:-
  • -Handwritten Digits recognition
  • -Image Classfication
  • Hackathons & Competitions
  • Introduction to Kaggle Platform and other Data Science Competitions

Download program brochure

Mentor: Ajay Sir (From Oracle with 14+ Industry Exp.)

Course summary

  Pre-Requisites Basic knowledge of Programming
  Start Date 17-Feb-20
  Timings 6:00 PM-8:00 PM
  Duration 48 Hours
  Mode Weekday Classroom
  Mentor Ajay Sir from Oracle
   Center Crossing Republik, Ghaziabad
Need More Information,Please Write to Us



Start Date

10 Weeks



Course Type


Week Day

6:00 PM-8:00 PM


2 Hours

Each session





₹ 12,000 ₹ 10,800 inc. Taxes

*Discount valid till 15 Feb'20 11:59 PM
👬 Friends Together - Call us for Group Discount

  • Payment Options


    A/C # 916020018356139 , IFSC Code : UTIB0001082
    Bank: Axis Bank | A/C Type: Current
    Send Transaction ID with Name & Phone at

  • Fee Refund Policy

    Course registration is FREE.
    Student need to deposit full fee within 3 days after taking the free demo classes to continue with the course.
    We ensure that you are satisfied with the demo class and want to continue with the program. When student deposit the full fee after the demo class, there will be no refund of any kind.
    Fee is neither refundable nor transferrable.

My Experience at IT Bodhi

Kartik Tyagi
Placed at Grofers as ML Engineer
B.Tech-CS Jaypee Noida College

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.

Kuldeep Arya
Placed at Devnagri as ML Engineer
B.Tech-Mechanical from Amity University

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. I highly recommend IT Bodhi.

Navya Singh
Placed at TCS-Digital as ML Engineer
B.Tech-CS from Jaypee Noida College

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. Highly recommended to everyone who want to make career in Data Science and Machine Learning.

Abhishek Jain
Placed at Capgemini
B.Tech-ECE at ABES Engg. College Ghaziabad

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.

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 we will try to conduct special session or cover in other batch.

  • Will I get a certificate after completion of courses?

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