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Introduction to Machine Learning Algorithms and their Implementation in Python

A hands-on course about the basics of machine learning development using Python for data science applications.

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

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
4.6

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. 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. 

You will get career openings in different industries such as machine learning engineers, Python programmers, Computer Vision Specialists, Natural Language Processing professionals, and Deep Learning professionals. The fees for this course range from Rs. 7,000/- to Rs. 15,000/- per month in India.

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 the technology to help customers choose products or movie channels should take this course. 

You can enroll 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.

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. 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. 

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.

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 enroll 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 the best machine learning certification course because it ensures high-paying positions in reputed companies. You will have the tools to provide meaningful insights for these companies from data using tools developed in Python. 

5) What is the fee for this course? 

The course fee ranges from Rs. 7,000/- to Rs. 15,000/- per month in India.

6) 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. 

7) Who is eligible for this course? 

This 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. 

8) How much salary can I expect after completing this course? 

You can expect an average salary of Rs. 7.10 lacs to 7.94 lacs 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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14 years in the experience range

Instructors with 14 years extensive industry experience.

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Areas of expertise

  • Electric vehicles

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