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Machine Learning Fundamentals In Depth in Hyderabad

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 Hyderabad

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 Hyderabad

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

Work towards a Successful Career with the Machine Learning Fundamentals in Depth Course in Hyderabad

Skill-Lync's Machine Learning Fundamentals in Depth course is a comprehensive program in statistical tools that help in understanding data better. 

The Machine Learning Fundamentals in Depth course by Skill-Lync has been designed for aspiring candidates who want to explore the world of ML and AI and make a career out of it. The growing acceptance of ML and AI across various industries has increased the demand for skilled technicians and engineers having in-depth knowledge of sophisticated algorithms and applications.

Industry leaders guide the machine learning course in Hyderabad with relevant and up-to-date knowledge. This course lasts for 24 weeks and is conducted through online classes where students are involved in two industrial projects that help them develop a practical understanding of Machine Learning and Artificial Intelligence. 

The fee structure of this ML and AI course is flexible. It consists of three plans: basic, pro and premium, with varying access durations. Further, the course completion certificate will add to the students' resumes, making them suitable for different job roles. 

FAQs about the Machine Learning Fundamentals in Depth Course in Hyderabad

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

Ans: Through this course, students will learn about the concepts of Artificial Intelligence and even explore the usability of the advanced abilities of Machine Learning through Python. They will also understand the different mathematical concepts behind ML algorithms.

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

Ans: A candidate opting to enrol in this ML and AI course in Hyderabad should have a background in electrical and electronics, mechanical or civil engineering.

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

Ans: The Machine Learning for mechanical engineers course in Hyderabad by Skill-Lync is divided into three modes. They have been given below in a tabular form:

Mode

Fee per month 

Basic (Access: 2 months)

Rs. 7,000

Pro (Access: 4 months)

Rs. 10,000

Premium (Access: Lifetime) 

Rs. 15,000

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

Ans: The Machine Learning Fundamentals in Depth course in Hyderabad will strengthen one's knowledge of Artificial Intelligence and the workings of Python. Further, those who have successfully completed the course will receive a course completion certificate, while those who are in the top 5% of the course will receive a merit certificate. 

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

Ans: After completing this machine learning course, students 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 Hyderabad? 

Ans:  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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