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Introduction to Machine Learning Algorithms and their Implementation in Python

A comprehensive course on Machine Learning using Python. This course is highly suited for beginners

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

  • The students will gain a thorough knowledge of machine learning concepts.
  • Students will gain exposure to machine learning algorithms and their implementation in Python.
  • The students are exposed to the modern trends and standard practises being followed in the industry right now.
  • Through this course, the students will learn to develop machine learning algorithms in a systematic way.
  • This course forms the foundation for anyone wanting to be a computer vision or NLP expert, as the extension of this course will be deep learning.

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

  • Introduction to Data Science and Big Data and its Importance
  • Introduction to Various Programming Languages (Tools) for Data Science

Week 2- Basics of Programming

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

Week 3- Essential Python Libraries

  • NumPy
  • SciPy
  • Pandas
  • Matplotlib
  • Seaborn

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

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

Week 5- Evaluation Metrics

  • Evaluation Metrics for Model Validation

Week 6- Importing Data and Hands on Imported Data

  • EDA
  • Correlation
  • Feature Extraction
  • Hyper Parameters

Week 7- Univariate and Multivariate Linear Regression

  • Univariate Linear Regression
  • Multivariate Linear Regression
  • Implemented in Python

Week 8- Principal Component Analysis

  • Eigen Values
  • Eigen Vectors
  • Singular Value Decomposition
  • PCA

Week 9- Logistic Regression and k-nearest Neighbor

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

Week 10- Decision Tree and Random Forest

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

Week 11- K-Mean and Hierarchical Clustering

  • K-Mean
  • Hierarchical Clustering

 

Week 12- Neural Network

  • 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.

Assess stock market data and perform data visualization and analysis

Given a scenario that you are working for a stock forecasting company as a data scientist, Perform data visualization and analysis for the given stock market data.

Develop an EWS with the data provided and by using the knowledge gained throughout the course

Develop an Early Warning System (EWS) to predict the likely rejection of the products manufactured by a company based on 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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