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Machine Learning Fundamentals In Depth in Mumbai

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 Mumbai

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 Mumbai

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

Expand Your Career Aspirations by Enrolling in the Machine Learning Fundamentals in Depth Course in Mumbai

Skill-Lync's Machine Learning Fundamentals in Depth course in Mumbai is a 24-week program that goes into the details of the mathematical formulations behind different ML algorithms commonly used in the industry. 

Skill-Lync's course on ML and AI for mechanical engineering in Mumbai equips you with sufficient knowledge on data gathering, pattern identification and prediction as is necessary for the changing market dynamics. The program dives into different Machine Learning algorithms like linear regression, principal component analysis, etc., that will help you if you pursue higher education in deep learning. 

The AI and ML course for mechanical engineers is fully online and has been designed by industry experts who have ample experience. This makes it one of the best machine learning courses in India as it is comprehensive and matches current industry standards. 

The course looks at supervised learning, introducing Normal Distribution and Standard Normal Distribution. Supervised learning concentrates on the cost function and gradient descent. Later on in the course, additional classification algorithms are introduced with a focus on Decision Tree, Entropy and information gain.

The Machine Learning Fundamentals in Depth course in Mumbai has a flexible fee structure offering different access durations. The other benefits vary depending upon the plan you opt for. 

 FAQs about the Machine Learning Fundamentals in Depth Course in Mumbai

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

This course helps unlock your potential as an AI and ML professional. It teaches you various AI-based technologies - Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Speech Recognition and Reinforcement Learning. 

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

This course is suited for students of mechanical, electrical and electronics, civil and computer science engineering.

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

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 Mumbai?

The Machine Learning Fundamentals in Depth course has been crafted after consultation with industry experts, who are easily accessible for support, guidance and mentorship during the course. The industry-oriented projects allow you to apply practically what you have learned as theory and build your professional portfolio. The instructors are industry experts who work in Fortune 500 companies. 

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

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 Mumbai?

The salary range is dependent on the experience of the professional. The average salary range of an AI engineer is INR 8.8 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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