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