Machine learning

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EMI Starting at

₹ 1500.00/month

Total Program Fee

₹ 18,000

Learning Period

32 Hours

Placed Learners

About Machine learning Course

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

Benefits of Edonce Machine learning Course

1-Yr Prime Membership of Edonce and avail the 360o placement support.
100% Job Support exclusively entitled for BI Specialist Professionals.
32-Hours Live Virtual Training.
Access to the Edonce 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 Edonce 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.

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