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Internship on Machine Learning using MATLAB

Language: English

Instructors: Jishnu R

Validity Period: 180 days

₹5000 54% OFF

₹2300 including GST

Why this course?

Description

ABOUT THE PROGRAM
Machine Learning on a Broader perspective. Learn on a Step by Step approach to equip yourself in the domain of ML using MATLAB Programming . Recorded sessions , Presentations and Codes help to understand better . Roll through the course and get a better understaning on the ML Concepts , MATLAB Programming , Algorithms such as Random Forest , Linear Regression , SVM and much more . Implement ML Projects on MATLAB with ease .. 

WHAT WILL YOU GET
✅Recorded videos ,Online support through forums 
✅All Video access for 3 Months
✅Download all source code
✅PPTs
✅3 Internship E-Certificate
✅Assignments
✅10+ Projects

AGENDA :  MACHINE LEARNING IN MATLAB

  • Lesson 1 : Introduction to Machine Learning
  • Lesson 2: How to Import & Pre Process Data
  • Lesson 3: Prediction using Linear Regression
  • Lesson 4 : Logical Classification using Logistic Regression
  • Lesson 5 : Object Classification using SVM
  • Lesson 6 : Predictions using Naive Bayes
  • Lesson 7 : Finding Nearest Neighbor using KNN
  • Lesson 8 : Data Clustering using K means
  • Lesson 9 : Random Forest Application
  • Lesson 10 : Dimensionality Reduction Algorithm
  • Lesson 11 : Regression using GBM
  • Lesson 12 : Data Analysis using XG Boost
  • Lesson 13 : Prediction using Light BGM
  • Lesson 14 : Prediction using CATBOOST
  • Lesson 15 : Image Labelling Techniques
  • Lesson 16 : NN Based Image Classification
  • Lesson 17 : Image Classification - KNN
  • Lesson 18 : Image Classification - SVM
  • Lesson 19 : Project Demo - III
  • Lesson 20 : Project Demo - IV

Internship Benefits & Bonus Takeaways

Confirmation Letter

Internship Reports

Resume Building

Mock Interviews

Job Alerts

Tech Mind-Map

Time Management

Certification

Course Curriculum

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.

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