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Machine Learning Fundamentals In Depth in Delhi

A comprehensive course on the fundamentals of Machine Learning and Artificial Intelligence using Python required to excel in the industry.

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies Python

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

More and more industries are relying on machine learning to develop systems that function on their own through repetitive learning. As machine learning is widespread across a variety of domains and industries, it has become a standard prerequisite for engineers striving to work in the industry. This course will offer aspiring engineers a solid understanding of the fundamental machine learning algorithms.

You will learn about...

  • Basic probability and statistics essential for understanding ML and AI
  • Supervised learning (Prediction, classification)
  • Random Forest and Model Evaluation
  • Unsupervised Learning (K Means, Hierarchical, PCA)

In addition to the theory taught in this course, you will get hands-on exposure to the use of Python for machine learning applications. This course culminates with industry level projects focused on real-time application of machine learning concepts. 

Who can enrol in this course?

Engineering graduates and working professionals with a background in similar fields can take this course.

Course Syllabus in Delhi

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1 - Basics of Probability and Statistics

This week, you will learn about

  • Basics of Probability
  • Basics of Statistics
  • What ML & AI is

Week 2 - Basics of Machine Learning (ML) & Artificial intelligence (AI)

This week, you will learn about 

  • Normal Distribution & Standard Normal Distribution: Introduction
  • Business Moments: Introduction
  • Artificial Intelligence

Week 3 - Supervised Learning - Prediction

This week, you will learn about 

  • Supervised learning: Introduction
  • What linear regression is
  • One hot encoding
  • Cost function and gradient descent

Week 4 - Supervised Learning - Classification

This week, you will learn about 

  • Classification problems: Introduction
  • What logistic regression is
  • Cost function and gradient descent

Week 5 - Supervised Learning - Classification

This week, you will learn about 

  • Decision tree
  • Entropy
  • Information gain

Week 6 - Random Forest & Model Evaluation

This week, you will learn about 

  • Random forest
  • Bootstrapping and majority rule
  • Evaluation of classifiers

Week 7- Supervised Learning - Classification

This week, you will learn about 

  • Support Vector Machines (SVM)
  • Mathematical intuition behind SVM
  • How SVM is different from other classifiers

Week 8 - Supervised Learning - Classification

This week, you will learn about 

  • K-Nearest Neighbor
  • Lazy Algorithm
  • Single-layer Neural Network

Week 9 - Unsupervised Learning - K-Means

This week, you will learn about

  • What clustering is
  • Why clustering is important
  • K Means and elbow curve

Week 10 - Unsupervised Learning - Hierarchical

This week, you will learn about

  • Hierarchical Clustering
  • Dendrogram
  • Evaluation of clustering algorithms

Week 11 - Unsupervised Learning - PCA

This week, you will learn about 

  • Feature Selection
  • Principal Component Analysis (PCA)
  • Mathematical intuition behind PCA

Week 12 - Supervised Learning - Classification

This week, you will learn about

  • Artificial Neural Networks
  • Deep learning
  • Different activation functions
  • Understanding back propagation

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Delhi

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Descriptive Analysis and Regression Analysis

In this project, you will perform descriptive analysis on given data regarding cars. Using the data, you will have to classify cars based on various parameters and analyze the pricing trends. You will then have to use Python to read the data and identify parameters on which data cleaning has to be performed. In addition to this, you will create a correlation matrix to identify predominant characteristics and then perform regression analysis on them. 

K-Means Clustering

In this project, you will have to clean a data set regarding cars and implement the clustering algorithm using K-Means. You will then have to explain the results and find the optimum values using the Elbow curve.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Strengthen Your Foundation with the Machine Learning Fundamentals in Depth Course in Delhi

Skill-Lync's Machine Learning Fundamentals in Depth course aims to help you understand the mathematical concepts behind different machine learning algorithms. This knowledge will further help in your understanding of deep learning. 

AI and ML are the two of the most hyped terms in the tech industry today, especially in the bustling hub of Delhi. Everyone is trying to understand these two technologies to help their business enhance its performance. The technology uses algorithms to read through data and recognise patterns, then uses these patterns to make predictions.

Skill-Lync's Machine Learning Fundamentals in Depth course is designed for students, fresh graduates, and professionals from a mechanical engineering background. It includes hands-on projects and case studies that will help you build a portfolio to showcase your capabilities. Further, experts will teach you in-demand skills and help you become industry-ready.

This 24-week Machine Learning and Artificial Intelligence training program consists of online lectures, interactive discussions and doubt clearing sessions. Since the fee structure is flexible, you can gain relevant knowledge without breaking the bank. The course completion certificate, and even the merit certificate, if you're in the top five per cent of the learners, will help boost your career prospects.

FAQs about the Machine Learning Fundamentals in Depth Course in Delhi

1. Why choose the Machine Learning Fundamentals in Depth course by Skill-Lync in Delhi? 

This machine learning course prepares the students to work on two real-time projects and case studies. It covers topics related to Machine Learning, Artificial Intelligence, and deep learning applied in mechanical engineering.

2. What are the prerequisites for taking the Machine Learning Fundamentals in Depth course in Delhi?

The machine learning course in Delhi is open to B.Tech/M.Tech graduates (preferably from mechanical engineering backgrounds) with programming knowledge. 

3. What is the program fee of Skill-Lync's Machine Learning Fundamentals in Depth course?

The fee structure is flexible, with the fees ranging from Rs 7000 to Rs 15,000 per month, depending upon the plan. 

4. What are the benefits of choosing the Machine Learning Fundamentals in Depth course in Delhi?

At the end of this program, you will be able to understand the concepts of data science, explain the implementation of machine learning algorithms, build predictive models using python, build machine learning models for regression, classification and clustering problems. The course completion certificate will add to your resume, giving you an edge over the competition during job interviews. 

5. What are the career prospects after completing the Machine Learning Fundamentals in Depth course in Delhi?

After completing this machine learning course, you can apply for the roles of: 

  • Machine Learning Engineer
  • Data Scientist
  • AI Data Analyst
  • AI Engineer

6. What is the expected salary range after completing the Machine Learning Fundamentals in Depth course in Delhi?

The salary range is dependent on the experience of the professional. The average salary range of a data scientist is INR 11 lakhs per annum.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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8 years in the experience range

Instructors with 8 years extensive industry experience.

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Areas of expertise

  • Machine Learning
  • Deep Learning

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