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Introduction to Machine Learning Algorithms and their Implementation in Python

Arm yourself with the new age technologies to keep yourself ahead of the competition with the Machine Learning Python course. Our experts have curated the curriculum to teach you all the data analysis and visualisation methods. Enrol in the Python for Machine Learning course and advance your career.

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Jayesh Suryawanshi

Volkswagen (I) Pvt. Ltd.,

RMD Sinhgad

Mithin SanthaKumar

Timetooth Technology

Cochin University of Science and Technology University in Kochi, Kerala

Manthan Waghaye

Altigreen Propulsion Labs Pvt Ltd

Shri Sant Gajanan Maharaj College Of Engineering

Hemant Sagar

KN Associates

PM polytechnic, Delhi ncr , sonipat

Jangaiah Chikonda



sai dinesh


usharama college of engineering and technology

Vadapalli A S Krishna Maruthi Srinivas

advance technologies

Jawaharlal Nehru Technological University, Kakinada

Manas Metar

Sphinix World Biz Limited

University of Wolverhampton


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

Course Overview

Python is a robust programming language used in the development of machine learning algorithms. For any data scientist or expert in this field, knowledge on Python libraries is of the essence to analyze, infer, and make predictions about future data trends. As Python gains more traction in the industry, engineers and data scientists must be exposed and up-to-date with modern standards. 

By taking this course, you will learn about the basics of data science, and the implementation of Python to develop machine learning algorithms. This course will give you a solid understanding of the essential Python libraries, evaluation metrics, univariate and multivariate linear regression, K-Mean clustering, hierarchical clustering, and neural networks. 

Throughout this course, you will have numerous opportunities to exercise your understanding by completing challenges and projects that require extensive analysis of data sets. You will get the foundation needed to work in the data science, machine learning, or related fields.

Course Syllabus

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

Week 1 - Introduction to Data Science and Programming Languages (Tools) for Data Science

This week will cover 

  • Data Science and Big Data: Introduction 
  • Importance of Data Science and Big Data
  • Introduction to Different Programming Languages (Tools) for Data Science

Week 2 - Basics of Programming

This week will cover

  • Variables
  • Operators 
  • Data Types 
  • Data Structures 
  • Control Structures in Python
  • Function File in Python

Week 3 - Essential Python Libraries

This week will cover

  • NumPy
  • SciPy
  • Pandas
  • Matplotlib
  • Seaborn

Week 4 - Introduction to Machine Learning Cross-Validation, Bias-Variance Tradeoff

This week will cover

  • Basics of Machine Learning
  • Classification
  • Fitting of Model with Cross-Validation
  • Bias Variance Tradeoff

Week 5 - Evaluation Metrics

This week will cover

  • Evaluation Metrics for Model Validation

Week 6 - Importing Data and Hands-On Imported Data

This week will cover

  • Exploratory Data Analysis (EDA)
  • Correlation
  • Feature Extraction
  • Hyper Parameters

Week 7 - Univariate and Multivariate Linear Regression

This week will cover

  • Univariate Linear Regression
  • Multivariate Linear Regression
  • Implementation in Python

Week 8 - Principal Component Analysis

This week will cover

  • Eigen Values
  • Eigen Vectors
  • Singular Value Decomposition
  • Principal Component Analysis (PCA)

Week 9 - Logistic Regression and k-nearest Neighbor

This week will cover

  • Explanation and Implementation of Logistic Regression and k-nearest Neighbor in Python

Week 10 - Decision Tree and Random Forest

This week will cover

  • Explanation and Implementation in Python
    • Decision Tree
    • Random Forest

Week 11 - K-Mean and Hierarchical Clustering

This week will cover

  • K-Mean
  • Hierarchical Clustering

Week 12 - Neural Networks

This week will cover

  • Logistic Regression with Neural Network Mindset

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

Industry Projects

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.

Stock Market Data Analysis and Visualization

You will be given a scenario in which you will work as a data scientist for a stock forecasting company. With this data, you will have to perform data visualization and analysis on the stock market data.

Developing an Early Warning System with Given Data

In this project, you are expected to develop an Early Warning System (EWS) to predict the likely rejection of products manufactured by a company using the given data.

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

Start a High Paying Career with Machine Learning for Engineers Using Python

This machine learning with python course opens up some fantastic opportunities for you in the best companies in India and abroad. You will learn concepts like data science, python programming, machine learning, linear regression, logistic regression, and neural network.

The introductory module deals with data science, the role of data scientists in the projection of future values, and the programming languages used. With all these concepts you will understand the applications of machine learning in electrical engineering. You will be introduced to variables, operators, data structure, and control structure as part of Python Programming. The course also includes the basics of machine learning, clustering of data using a clustering algorithm, Principal Component Analysis, Decision Tree, and Random Forest.

Concepts will be clarified through practical projects on data science and manufacturing analytics. As a data scientist, you will learn, for example, how to predict future stock market values using current data. Machine learning will help you develop early warning systems or EWS from given datasets. 

Who Should Take the Machine Learning for Engineers Using Python Course?

The machine learning with python course is meant for engineers. If you are an electrical engineer and want to pursue a career in machine learning and Artificial Intelligence, you will benefit from this course. Those who want to be part of AI or Artificial Intelligence-powered industries like e-commerce portals that use technology to help customers choose products or movie channels should take this course. 

You can enrol in this course if you have basic programming knowledge since it starts with entry-level machine learning concepts. It includes project work to help you learn the application of machine learning in diverse areas like google maps, fraud detection, customer segmentation, and more. Start learning machine learning using the python course if you are interested in this domain.

What Will You Learn?

This machine learning course begins with an introduction to data science, why it is important, and the programming languages required. 

Before starting the machine learning module, you will understand the essential Python libraries like Pandas, Numpy, Seaborn, Scipy, and more. The fitting of the model with cross-validation, bias-variance tradeoff, and the basics of machine learning will be taught in this course. Other essential components include K-Mean and Hierarchical Clustering, Logistic Regression and K-Nearest Neighbor, Principal Component Analysis, and more. 

Towards the end of the Python for machine learning course, you will gain an in-depth knowledge of data analysis techniques and essential Python libraries. Our experienced mentors will take you through the basics of machine learning and neural networks.

You will work on industry-level projects in which you will be required to perform data analysis for stock market data. Also, you will be working on an EWS (Early Warning System). EWS is deployed in manufacturing units to predict the rejection of products developed by a company using the given data

Skills You Will Gain

  • Understand the application of machine learning and Artificial Intelligence for product recommendations for companies like Amazon or movie recommendations by YouTube.
  • You will learn how machine learning helps in customer segmentation and fraud detection. 
  • You can begin a profitable career in the field of data engineering and data science. 

Key Highlights of the Program

  • All students get course completion certificates. Apart from this, the top 5% of all students will get a merit certificate.
  • The duration of the course is three months.
  • You can link your technical projects automatically for your employer's assessment.
  • Hands-on experience in real-life projects to improve your concepts.

Why Should You Pursue the Machine Learning with Python Certification Course?

Skill-Lync's Python for machine learning certification is focused on imparting the key technical skills that are required by the industry. We constantly revise our machine learning course curriculum to make it aligned with the new trends that are being discovered.

We are the pioneer in providing advanced online machine learning training in India for engineers like you and are on a mission to level up the engineering workforce. This machine learning training course delves deep into the essential technicalities and teaches the most in-demand software tools that are used in the industry.

Combined with our unique pedagogy, machine learning courses online can help you either kick-start or advance your career if you are a professional. In this rapidly evolving tech space, our course on machine learning can help you be a competent professional in the job market.

Career Opportunities after Taking the Course 

Multiple opportunities are available across different industry segments when you complete the machine learning with Python course. Here are some of the top positions available:

  • Machine Learning 
  • Deep Learning 
  • Computer Vision 
  • Python 
  • Natural Language Processing 

FAQs on Introduction to Machine Learning Algorithms and their Implementation in Python

1) Why should you enrol in this machine learning certification course?

The machine learning industry is growing at 44% a year, and there is a shortage of qualified professionals. There are highly-paid jobs for professionals who complete this course. 

2) What will I learn in this course?

Some of the key topics covered in this course are the basics of programming, evaluation metrics, and essential python libraries.

3) What is the duration of the course? 

The duration of the course is normally three months. 

4)What are the benefits of this course? 

This is one of the best machine learning certification courses because the course curriculum strictly adheres to industry standards. By knowing machine learning in electrical engineering you will be able to build robust algorithms. After completing the python for machine learning course you will become eligible for a course completion certificate, which you can showcase in your professional portfolio.

5) What are the top companies hiring machine learning engineers in India? 

Top companies like Amazon, Facebook, Flipkart, and others need machine learners and similar professionals. 

6) Who is eligible for this certification course for electrical engineers

This python for machine learning course is ideal for students with knowledge of statistics and programming. You should be eager to learn machine learning and look for a career in it. 

7) How much salary can I expect after completing the python and machine learning course

You can expect an average salary of Rs. 7.10 lacs to 7.94 lacs per annum.

Flexible Pricing

Talk to our career counsellors to get flexible payment options.


INR 40,000

Inclusive of all charges

Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals

  • 1 Year Accessto Skill-Lync’s Learning Management System (LMS)

  • Personalized Pageto showcase Projects & Certifications

  • Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.

  • Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.

  • Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.

Instructors profiles

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


1 industry expert

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


14 years in the experience range

Instructors with 14 years extensive industry experience.


Areas of expertise

  • Electric vehicles

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