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Machine Learning Fundamentals In Depth in Bangalore

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 Bangalore

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 Bangalore

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 Basics with the Machine Learning Fundamentals in Depth Course in Bangalore

Skill-Lync's Machine Learning Fundamentals in Depth course looks at the mathematical concepts behind various machine learning algorithms like linear regression, principal component analysis, etc. 

Skill-Lync's 24-week-long online program on machine learning and AI for mechanical engineering is one of Bangalore's best machine learning courses. By enrolling in this course, you will be able to develop your basics so as to further your education in deep learning. 

Taught by industry experts, this course includes two comprehensive projects that not only increase your understanding of the course material but also build your professional portfolio, making it attractive to job interviewers. By signing up for the Machine Learning Fundamentals in Depth course in Bangalore, you can gain expertise in the techniques of Artificial Intelligence through the programming language Python.

Python is one of the most popular programming languages in the field of machine learning. Adding this to your resume will boost your employability chances, getting you closer to your dream job. The course completion certificate and the merit certificate, if you qualify, are an added bonus to the other benefits of this course. 

FAQs about the Machine Learning Fundamentals in Depth Course in Bangalore

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

Skill-Lync's course is relevant in today's world since Artificial Intelligence is taking over all fields and professions. By signing up for this course, you are preparing yourself to be an ideal candidate in the job market. 

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

Students pursuing mechanical engineering, automotive engineering, electrical or electronic engineering are eligible for this course.

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

Skill-Lync offers a flexible fee structure for its course. The fees range from Rs 7,000 to Rs 15,000. While the basic plan of Rs 7,000 gets you two months of access, the Rs 10,000 plan gets you access for four months. The premium plan of Rs 15,000 gives you lifetime access along with the facilities of a dedicated support engineer at your disposal.

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

Bangalore has great job opportunities. By enrolling for this course in Bangalore, you may give your career a headstart compared to your peers. Since the course has practical projects, it will prepare you to deal with real-world industry problems.

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

Post completion of the course, you will be eligible for roles such as:

  • 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 Bangalore?

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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