Machine Learning

Machine Learning Program

Machine Learning Engineer Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Python Programming, Artificial Intelligence, Machine learning, Deep Learning, NLP, Graphical Modelling and Reinforcement Learning along with hands-on experience of tools and systems used by the industry experts. Edureka will be by your side throughout the learning journey – We’re Ridiculously Committed.

Machine Learning Program Key Highlights

Eligibility Criteria

You can join data science after 12th. Students from science background (preferrably engineering / maths / technology) can apply to any data science course at the graduation, certification, or diploma level. You just need to have a minimum of a UG degree in any specialization to become a Data Scientist.

The applicant should have a Bachelor's degree in Science / Engineering / Business Administration / Commerce / Mathematics / Computer Applications or a Masters degree in Mathematics / Statistics / Commerce with 50% or equivalent passing marks.

Course Curriculum

Introduction to Machine Learning

What is Machine Learning?
Applications of Machine Learning
Types of Machine Learning

Exploratory Data Analysis

Exploring the Data
Missing Values
Outliers
Skewness
Scaling
Encoding
Feature Engineering

3.Supervised Learning

Linear Regression
Polynomial Regression
Regularization
Cross Validation
Logistic Regression
Naive Bayes
K-Nearest Neighbours
Support Vector Machine
Decision Tree
Random Forest
Boosting

4.Unsupervised Learning

KMeans
Hierarchical Clustering
Principal Component Analysis
Association Rule Learning

Machine Learning Projects

Project 1

Face Detection

Use Python 3.5 (64-bit) with OpenCV for face detection. The learners must ensure that the system will have to detect multiple faces in a single image. Students must work with essential libraries such as CV2 and Glob.

Project 2

AI Chatbot

In this project, the learners will get to work with the IBM Watson AI chatbot, create their own AI chatbot, and see how the IBM cloud helps them create a chatbot on the backs of possibly the most advanced machine learning systems available.

Project 3

Restaurant Revenue Prediction

Work with Ensemble Model for predicting annual restaurant sales using various features like opening data, type of city, type of restaurant. Work with packages like caret, Boruta, dplyr to analyze the dataset and predict the sales.

Tools Covered

Certification & Faq

who provides the certification and how long is it valid-for?

Once you successfully complete the Machine Learning training, provide you with an industry-recognized course completion certificate which will have a lifelong valid

Variables ,Data Types & Operators

Online Classroom:

Attend one complete batch of Data Science with Python training.
Submit at least one completed project.

Online Self-Learning:

Complete 85% of the course
Submit at least one completed project.

Placement Support

Interview Handling Skill
Posture and Grooming Techniques
Resume Building
Guaranteed 10 Interview
Data Science Interview FAQ’s Interview Techniques
Align Interviews with Companies
Effective Communication Techniques
Support for Internship and Job