Machine Learning Foundation With Python
Learn about the concepts of Machine Learning, effective machine learning techniques from basics with Python.
Students, Working Professionals seeking a career in ML

17999 10999


*Additional INR 1000 OFF during GeekWeek
Use Coupon Code: GWML1000

Classroom Program
Upcoming Batch: ML batch-2
10 Lectures (Weekend Classes)
14 December to 05 January '20
Class Timing 02:00 pm to 05:00 pm
Classes Venue:  Geeks classes 6th Floor A-118 , Sector 136 Noida
Check out previous batches
Course Rating
4.8

Course Overview

Geek Week Offer:

Avail additional INR 1000 OFF on the price using the coupon code: GWML1000, making the final price: INR 9,999. This offer is valid till 20th October midnight. Hurry Up
After successful purchase of this course, you will get a discount voucher worth INR 1000 via email, which can be redeemed on the purchase of next course


This course is the perfect place for the beginners to understand the core idea of building systems that have the ability to automatically learn from data and improve the experience without being explicitly programmed. In this course, you will learn about concepts of Machine Learning, effective machine learning techniques, and gain practice implementing them and getting them to work for yourself all in a classroom program. The course will be mentored & guided by Industry experts having hands-on experience in ML-based industry projects. The course includes 1 major & 3 minor projects based on real-world applications with guided lab sessions.
Pre-requisites:
Should know the basics of any one programming language
  • C / C++
  • Java
  • Python

Recommended for:
Anyone who wants to learn and build ML-based solutions specifically
  • College students who are looking for training in Machine Learning
  • Working Professionals who want to learn machine learning concepts.

Course Features

  • Summer training Certificate
  • Course mentored by Industry experts
  • Internship Opportunities at GeeksforGeeks
  • Project-based learning which will add stars to your resume 
  • 4 projects based on real-world applications
    • 1 Major Project
    • 3 Minor Projects

Course Content

  • Hands-on on python.

  • Basic syntax and data structures in python  

  • Introduction to data frames, numpy, pandas and other libraries in python.

  • Introduction to ML

  • Types of problems solved by ML.

  • Real world scenarios where ML is applicable.

  • Basic Terminology used in ML via a case study.

  • Building Regression models like Linear Regression, its variants etc.

  • Evaluating regression models, evaluation metrics, cost function etc.

  • Project 1 (Lab session)
    • Predicting House prices
  • Introduction to classification techniques.

  • Logistic Regression, Decision Trees, Random Forests.

  • Evaluating Classification Models.

  • Project 2 (Lab session)
    • Hotel Reviews Data Sentiment Analysis
  • Clustering and Similarity techniques

  • Other clustering Algorithms :

    •  K-means Algorithm

    • Apriori Algorithm etc

  • Project 3 (Lab session)
    • Clustering 2D points via K-Means Algorithm
  • Introduction to Deep Learning

  • Best Practices while designing Machine Learning Solutions

  • Closing Remark

Major Project 

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Course Mentors


Instructor

Course mentors would be Industry expert having 4 years of working experience currently working in Adobe Systems. In the past they have worked with other product based companies like Amazon, Paytm, etc.

FAQs

  1. Who will be taking the lectures?
    Course mentors would be Industry expert having 4 years of working experience currently working in Adobe Systems. In the past they have worked with other product-based companies like Amazon, Paytm, etc will be taking all lectures along with another expert.
     
  2. Is there any number to contact for any query?
    You may call us on our toll-free number: 18001238622  or Drop us an email at geeks.classes@geeksforgeeks.org
     
  3. How will we work on the projects?
    You will begin the project with the help of course mentors. Each student will be guided by the mentor in the class itself.
     
  4. Is this a certification course?
    Yes, It's a GeeksforGeeks certified program which includes projects along with learning. All students will receive a Training certificate with appropriate grades.
     
  5. What is the size of a batch?
    The planned batch size is 25.
     
  6. How can I register for the course?
    Click on the Signup for free button & Pay Fees online
     
  7. What is the course duration?
    The course includes 10 lecture which will be completed in 5 weeks.
     
  8.  What is the duration of the class?
    Class duration is 3 Hours. Classes are scheduled for Saturdays & Sundays.

Course Registration

Batch Date Type Register
ML-Batch-1 29 June to 28 July '19 Weekend Classes
Registration Closed
Batch Date Type Timing Lectures Fee Register
ML batch-2 14 December to 05 January '20 Weekend Classes 02:00 pm to 05:00 pm 10 10999
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