Machine Learning

This comprehensive program covers essential concepts and tools in Machine Learning, including foundational libraries, data handling with Numpy and Pandas, statistical and probability concepts, data visualisation, analysis, preprocessing, a range of algorithms, hyperparameter tuning, NLP basics, and practical training projects.
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13000+ Students Enrolled

What you'll learn

Program Highlights

Live Sessions

Dynamic live classes for interactive learning.

Expert Instructor

Guidance from seasoned experts ensures mastery.

Project Based Learning

Practical learning through engaging projects.

Placement Training

Enhance skills for successful job placement

Airban Paul

Senior AI Engineer || AI Consultant || Generative AI || NLP || Computer Vision || NLP & LLM Freelancer
Introducing Airban Paul, a dedicated technologist with over 5 years of extensive expertise in Data Science, Machine Learning, Computer Vision, and NLP within the realm of AI. Presently holding the role of a Senior Data Scientist at Oracle, Airban collaborates with cross-functional teams to innovate and develop groundbreaking products that place AI at the forefront of value creation. He possesses a deep passion for the evolving prospects and inventive pathways that AI and Data Science present in today’s technological landscape.

SYLLABUS

Module 1

Introduction to Machine Learning

  • Basics for Machine Learning Libraries
  • Numpy and Pandas Overview

Module 2

Statistical Foundation

  • Statistics Concept
  • Probability Concept

Module 3

Data Handling and Preprocessing

  • Data Visualization Techniques (Matplotlib & Seaborn)
  • Data Wrangling (Null Values, Encoding, Imputation)
  • Descriptive Methods & Transformer Techniques (Normalization)
  • Scaling, Correlation, VIF
  • Handling Oversampling, Nearmiss
  • Principal Component Analysis (PCA)

Module 4

Algorithm Basics

  • Linear & Logistic Regression
  • Decision Tree
  • KNN, SVM & NBC
  • Ensemble Methods
  • Anomaly Detection Models
  • KMeans & Hierarchical Clustering

Module 5

Optimization Techniques

  • Hyperparameter Tuning and CrossValidation

Module 6

NLP Fundamentals

  • Introduction to Natural Language Processing Basics

Module 7

Practical Projects

  • Census Income Project
  • Temperature Prediction Project

How much does a Machine Learning Engineer make in India?

The average Machine Learning salary in India is 12,00,000 per annum. Entry level position starts at 4,50,000 per annum, while most experienced professional make up to 22,00,000 per annum.

Empower Your Future

Apply your skills and knowledge gained during the upskilling program to build real-world projects, showcasing your abilities and demonstrating your readiness for professional development along with earning a certificate.

Why us?

IntrnForte aims to deliver quality technical education on a one-stop, easy-to-use e-learning platform. We make learning simple and exciting. We go beyond the norms of traditional pedagogy and bring forth an innovative, interactive, and practical approach to training.

Young Industry Experts

Project Based Learning

Job Assistance

Premium Certifications

Topics Under Machine Learning

Introduction to Machine Learning
Data analysis and transformation
Techniques of evaluation, Experiments and project deployment
Introduction to python
Data exploration and pre-processing
Linear regression
Data visualization with Tableau
Decision Tree
Machine learning algorithms (Important ones)
Clustering (Unsupervised)
Ensemble models
Logistic Regression

Milestones in Machine Learning

Phase 1
Phase 2
Phase 3

Projects You Will Build

Apply your skills and knowledge gained during the upskilling program to build a real-world project, showcasing your abilities and demonstrating your readiness for professional development.

Course Pricing

SELF PACED-18

PRICING

₹ 4500
  • 2 Projects
  • LMS Access
  • Q&A Sessions
  • Report & Analysis
  • Quiz & Assignments
  • 21+ Live recorded sessions
  • Course Completion Certificate
  • Internship Training Certificate
  • 3 Live Industry Expert Sessions
  • Placement Training

What Did Our Students
Say About Us?

A vision to educate lakhs of students with industry-level knowledge and to provide an opportunity to upskill and expand their capabilities.

Frequently Asked Questions

There are no prerequisites required, as it is beginner friendly. The curiosity to learn and Forte in your career is required. Rest leave it to us!
At IntrnForte, the duration of the course would be 10 weeks, on request can be extended to 12 weeks with No charges.
At IntrnForte, you are mentored by YOUNG industrial experts who can connect students’ minds easily who are working in the industry for a good time and have a strong grasp in their domain.
Good internet connectivity with a Mobile or Laptop is required.
All your sessions and live interactions will be uploaded on your LMS account which can be viewed whenever required.
Yes, there will be projects at the end of the course as mentioned.
Yes, we will be providing the certificates as mentioned.

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