Machine learning

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KEY FEATURES

Symbol Skill Brand to back your credentials

The certificate given upon successful completion of the course will be endorsed by Koed which has industry & Govt. of india recognition..

Industry Experts as mentors

Symbol Skill is a well known brand having Industry expert trainers with decades of working and training experience distinguished status among the companies.

Industry Experts as mentors

Symbol Skill is a well known brand having Industry expert trainers with decades of working and training experience distinguished status among the companies.

MENTORS FROM

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ABOUT MACHINE LEARNING COURSE

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

BENEFITS OF SYMBOL SKILL MACHINE LEARNING COURSE

  • 1-Yr Prime Membership of Koed and avail the 360o placement support.
  • 100% Job Support exclusively entitled for BI Specialist Professionals.
  • 32-Hours Live Virtual Training.
  • Access to the Symbol Skill LMS.
  • Recorded Videos of the Session for recap.
  • Resume analysis and Interview Preparation.

Training Options

Self Paced Learning

₹10299
₹ 6999
  • Lifetime access to high-quality self-paced elearning content curated by industry experts
  • 11 industry case studies on real business problems
  • 32 hrs of applied learning
  • 24 hrs of Self-Paced Learning
  • 8 PDUs offered
  • 3 simulation test papers
  • 4 real-life projects
  • 1 Capstone Projects
  • Completion certificate
Enroll Now
Preferred

Online Bootcamp

₹17999
₹ 11699
  • Lifetime access to high-quality self-paced elearning content curated by industry experts
  • 11 industry case studies on real business problems
  • 32 hrs of applied learning
  • 24 hrs of Self-Paced Learning
  • 8 PDUs offered
  • 3 simulation test papers
  • 4 real-life projects
  • 1 Capstone Projects
  • Completion certificate
Enroll Now

Corporate Training

Upskill or reskill your teams
  • Flexible pricing & billing options
  • Private cohorts available
  • Training progress dashboards
  • Skills assessment & benchmarking
  • Platform integration capabilities
  • Dedicated customer success manager
Contact Us

MACHINE LEARNING 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 t

SKILLS COVERED

  • Analysis
  • Data Manipulation & Summarization
  • Linear Regression
  • Analytical Modeling
  • Data Structure
  • Logistic Regression
  • Clustering
  • Ensemble
  • Statistics

TOOLS COVERED

JOB ROLES

  • Business Intelligence Developer
  • Machine Learning Engineer
  • Data Scientist
  • Machine Learning Researchers
  • Machine Learning Designer
  • NLP Scientist
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