Machine Learning Getting Started - Instructor-Led Online Training

Machine Learning Getting Started - Instructor-Led Online Training
16-Jul

Learn Online Directly From Professional Trainers!. 100% Satisfaction Guaranteed.

REGISTER FOR MACHINE-LEARNING-TRAINING OF 16-Jul

  • TOTAL COST - INR: 22860 19431  USD: 300 255  (15% WFH Discount!)
  • START DATE/TIME, DURATION, DAYS - 6 Days, Starting from 16-Jul-2020,  Start Time: 06:00PM(INDIA)/08:30AM(ET-US)/2 hrs a day.  Total Duration of this 6 Day Course is 12 hours. Please double-check the date and time based on your country's time zone. Should you wish to be notified on future schedules, please SUBSCRIBE to our list.
  • TABLE OF CONTENTS - Comprehensive coverage of topics essential to get you started with confidence. Check out our TOC. For customised or corporate trainings please CONTACT US.
  • PROJECTS/CONSULTANCY - Should you wish to engage our team of experienced professionals to support, design, or automate please CONTACT US.

SUBSCRIBE TO OUR COURSE ANNOUNCEMENTS

We will notify you as soon as we announce new courses

Machine Learning Getting Started TOC

You get access to our cloud lab to do all section exercises

Section-1

What is Machine Learning

What is AI
What is Machine Learning?
Types of Machine Learning
Machine Learning Workflow
Machine Learning Life Cycle

Section-2

Introduction to Python and Libraries

Basic Python
Getting Started with Anaconda
NumPy
Pandas
Matplotlib
Sklearn
Seaborn

Section-3

Linear Regression

Correlation Analysis and Feature Selection
Linear Regression with Scikit-Learn
Evaluate Regression Model Performance
Dealing with Non-linear Relationships
Feature Importance
Data Preprocessing
Introduction to Classification
Logistic Regression
Confusion Matrix

Section-4

Support Vector Machine (SVM)

Support Vector Machine (SVM) Concepts
Support Vector Regression

Section-5

Introduction to Decision Tree

Training and Visualizing a Decision Tree
Tree Regression, Regularization and Over Fitting
Matplotlib
Sklearn
Seaborn

Section-6

Ensemble Machine Learning

Ensemble Learning Methods Introduction
Random Forests and Extra-Trees
Project

Section-7

k-Nearest Neighbours

kNN Introduction
Project

Section-8

Unsupervised Learning

Dimensionality Reduction Concept
PCA Introduction
Project

Section-9

Deep Learning

Introduction to Neural Networks
Neural Network Architecture Foundations of Deep Learning Binary Classification Problem Natural Language Processing

Address

Schogini Systems P Ltd
PTP 292, Trivandrum 695038
INDIA