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EMI Starting at
₹ 1507/month
Total Program Fee
₹ 15,000
Learning Period
32 Hours
4.8 (1499 Ratings) 15740 Learners

Placed Learners

Key Features

Koed Brand to
back your credentials

The certificate given upon successful completion of the course will be endorsed by Koed which has industry & Govt. of india recognition.

Industry Experts as mentors

Koed is a well known brand having Industry expert trainers with decades of working and training experience distinguished status among the companies.

A 360 exclusive Support to
Our Placement Cell

Providing Job support, Interview preparation and Resume Analysis, Alumni portal access, E-learning, and lots more!

Mentors From

About Machine learning Course

  • Duration/Mode: 32 Hours Live Online Training.
  • E-Learning Access: Includes Recorded Videos, Projects, and Case Studies resume & placement support Job Opportunities and
  • Internship: Get access to job opportunities to top MNCs.
  • Job Opportunities and Internship: Get access to job opportunities to top MNCs.
  • Live Projects: Experience Industry oriented Projects during the training.
  • Prime Membership: Get a 1-Year Prime Membership of Koed and avail the 360o placement support.
  • Trainer: Industry expert trainers with decades of working and training experience.

Benefits of Koed Machine learning Course

  • 1-Yr Prime Membership of Koed and avail the 360o placement support.
  • 100% Job Support exclusively entitled for BI Specialist Professionals.
  • 32-Hours Live Virtual Training.
  • Access to the Koed LMS.
  • Recorded Videos of the Session for recap.
  • Resume analysis and Interview Preparation.

Own a certificate in exchange for your merit and hard work, not just money.

  • Acquire

    In your hand, will rest a Koed certificate once you test your knowledge in the exam and pass with flying colours. Once all modules of the course are done, our trainers will be greatly pleased to share your reward with you.

  • Think out of the box, go out of your comfort zone

    Everybody has an option to do things the conventional way but only some have the courage to own up and do it in their own way. Once you complete all modules of the course, you will be instilled with all the required skills and knowledge to be able to carve your own way. You will see your productivity shoot up at work, during interviews and more.

  • Share and inspire others

    No success story is a great story until it motivates other people to work harder. We would encourage you to highlight and show the world the reward you earned for your hardwork and consistency. Share the certificate on social media channels, alumni networking meetings and other platforms. Remember when it's your time to shine, shine brightly.

Machine learning Course Curriculum

  • 1.1 Introductory Topics to Analytics Understanding the need for
  • 1.1 Introductory Topics to Analytics Understanding the need for
  • 1.2 Introduction to Data Management Properties & Types of Data,
  • 1.3 Basics of Python Programming
  • Need for Python, Features of Python, Download, Setup, Installati
  • 1.4 Data Structures in Python
  • Creating and Understanding Basic Data Structures in Python - Vec
  • 1.5 Data Manipulation & Summarization in Python
  • Understanding how data can be summarized in different ways to do
  • 2.1 Analytical Modeling
  • Understand what is Modeling and how it can be used in Various Do
  • 2.2 Statistical Tests
  • P Value, Z Value, Hypothesis, Null Hypothesis, Alternative Hypot
  • 2.3 Linear Regression Using Python
  • 2.4 Visualization using Graphs
  • Creating Graph in Python and understanding which graph to be use
  • 2.5 Missing Value and Outlier Analysis
  • Understanding how missing values & outliers are handled in data
  • 2.6 Logistic Regression
  • Predicting Binary Outcome (Buy or not, Churn or not, Loan Defaul
  • 3.1 Clustering
  • Grouping Customers based on characteristics so that they can be
  • 3.2 Decision Trees
  • When to use CART & CHAID to create a decision tree based on cate
  • 3.3 Ensembles Bagging & Boosting
  • Random Forest, XGBoost: Problems of Decision Tree covered in Ran
  • 4.1 Association Rule Analysis
  • Understand how Association Rules can be created using Market Bas
  • 4.2 Twitter Analysis
  • Configure Twitter Account & Application; Setup for downloading t

Know the complete offerings of our Machine learning Course

Program Features

Skills covered

Analysis
Analytical Modeling
Clustering
Data Manipulation & Summarization
Data Structure
Ensemble
Linear Regression
Logistic Regression
Statistics
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Tools Covered

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Job Roles

Business Intelligence Developer
Data Scientist
Machine Learning Designer
Machine Learning Engineer
Machine Learning Researchers
NLP Scientist
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Certificate

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