Data Science/Machine Learning rightArrow
Hybrid Course (Self Paced - Live) New rightArrow
Data Analyst rightArrow
Java rightArrow
Digital Marketing rightArrow
Python rightArrow
Web Development rightArrow
Embedded Systems & IoT rightArrow
1whatsapp

Machine Learning with Python Training

Learn two great technologies together with this course. Dive into an intense learning journey provided by The IoT Academy. The course is perfectly mapped out to take your career in the right direction. This course will improve your Machine Learning and Python skills to improve your employability.

Course Duration
180 Hours
Deadline
25/6/2024
Course Type
Offline
Machine Learning With Python Professional Image

Program Overview

The Machine Learning with Python course is designed by experts for graduated students and working experts. In this course, they can learn and understand more about Python Programming and Machine Learning. The training includes Introduction to machine learning with python, learning about significant concepts in Python, Introduction to statistics, Linear Algebra, ML applications & Landscape, Supervised Learning, and more.

Machine Learning with Python training can help you grab good career opportunities. After this program, you will master Machine Learning applications, supervised learning, decision trees, neural networks, extended applications, Python basics, exploratory data analysis, advanced statistics, probability theory, SQL, Error/Exception handling, and more. With the knowledge of these two technologies, you can have job opportunities in various areas such as banking, finance, insurance, entertainment, telecommunication, automobiles, etc. You can also learn machine learning with python to get a promotion in your current job.

When beginning your career path, knowing the basics of ML and python is very useful. For clarity, we have broken the learning process into a few areas of knowledge. Each section provides a foundational piece of technology with machine learning python example for better understanding. To help you on this journey, we have prepared the study material that will uplevel your abilities, and prepare you to use ML for your projects. Choose our machine learning with python certification program designed to increase your knowledge.

The Machine Learning With Python Course includes learning and understanding the architecture of Machine Learning, Python, Deep Learning, and NLP. It consists of topics like types of machine Learning Methods, Ensempling Techniques, unsupervised Learning, Biological & Artificial neurons, and more. In the Machine Learning and deep learning course, the trainers will be using tools and technologies like NumPy. Matplotlib, Jupyter, Decision Tree, Seaborn, and TensorFlow. Machine Learning and Python are one of the most developed and emerging technologies. Python libraries make the implementation of Machine Learning algorithms easier. It provides faster product development and enables the developer to solve complex problems by reducing time in rewriting codes.

Machine Learning with Python Syllabus includes basic and important topics of both domains. Some of the topics are:

  • Introduction to statistics
  • Linear algebra
  • Supervised learning classifications and training models
  • Machine learning applications & landscape
  • neural network
  • extended applications
  • Python basics
  • SQL
  • Probability theory and statistics
  • Exploratory data analysis
  • Unsupervised learning
  • Deep Learning
  • ANN, CNN, and NLP
  • Time series and forecasting and more

Machine Learning with Python certification helps build new opportunities for a promising career in this field. There are many benefits of machine learning in various businesses, irrespective of background or industrial sector. Additionally, there is a vast scope in python in today's market.The importance of Python in machine learning projects and tasks makes the work easier for developers and engineers. Python can easily analyse and compose available data, which makes it one of the most popular languages in data science.

Once you gain expertise in machine learning with python training, you have many options available in the market. In India, a Machine Learning Engineer's salary lies between ₹ 3.0 Lakhs to ₹ 20.0 Lakhs with an average annual salary of ₹ 6.9 Lakhs. Whereas Python Developer salary in India is between ₹ 2.0 Lakhs to ₹ 9.0 Lakhs with an average annual salary of ₹ 4.3 Lakhs. Hence you can expect a good salary after this course. You can also work as a freelancer after this certification.

Apart from Introduction to Machine Learning, you will learn Python, SQL, NLP, CNN-1,2, ANN-1, RNN NLP-3, and more. You will also be using tools and technologies like NumPy. Matplotlib, Jupyter, Decision Tree, Seaborn, and TensorFlow

After completion of this course, you will be able to apply for various positions like Machine Learning Engineer, Data Scientist, Human-Centred Machine Learning Designer, Computational Linguist and Software Developer, Software Engineer, Senior Software Engineer, and DevOps Engineer.

You will be working on an industry-based project after the completion of the course. The evaluation will be done as follows:

  • Final project submission
  • Final project evaluation
  • Mock interview round by data science & machine learning industry expert.

Call Us

+919354068856

Request more information

Training Features

1
Instructor-led Sessions

All the training sessions are governed by experts. The instructors are well-experienced in their respective domains. The students are encouraged to clear any doubts with their trainer to make the sessions more interactive.

2
Case Studies

During the course, students have worked on various real life scenarios like bank loan prediction, mobile price prediction, disease prediction, fake job description prediction and more.

3
Assignment

The trainees have to clear the tests and assignments to showcase their skills. It helps the instructor to know if the students are understanding the topics or not. In the end, they have to complete a project that will demonstrate their expertise.

4
Offline Course

The course is offline hence the students can interact with their trainer easily. It becomes easier for the students to clear their queries at that time only, so they can understand the next topics. Offline classes encourage group learning and sharing of knowledge with each other.

5
Placement Assistance

The IoT Academy offers placement Assistance too. We help improve your visibility to the potential employers that are leading in the technical market. The trainers not only improve your technical expertise but groom you to perform well in the interviews.

6
Certification

Once you successfully complete the course, you will receive a certificate from the IoT Academy. You can highlight it in your resume to enhance your skill set. The certificate is crucial to showcase your expertise in the technical domain.

Course Curriculum

DS With Python (Live) 36 HOURS   Modules

  • Module 01 - Python Basics
  • Module 02 - Python NumPy & Pandas
  • Module 03 - EDA
  • Module 04 - SQL For Data Analytics
  • Module 05 - Data Visualization
  • Module 06 - Tableau / Power BI basic
Download Curriculum

Statistics (Live) 32 HOURS   Modules

  • Module 01 - Statistics Basics
  • Module 02 - Probability Theory
  • Module 03 - Statistics Advanced
  • Module 04 - Exploratory Data Analysis
Download Curriculum

Machine Learning (Live) 52 HOURS   Modules

  • Module 01 - ML
  • Module 02 - ML-1
  • Module 03 - Ensempling techniques
  • Module 04 - Unsupervised Learning -1
  • Module 05 - Unsupervised Learning -2
Download Curriculum

Deep Learning (Self Paced) 20 HOURS   Modules

  • Module 01 - ANN-1
  • Module 02 - ANN-2
  • Module 03 - CNN-1
  • Module 04 - CNN-2
Download Curriculum

Natural language Processing (Self Paced) 40 HOURS   Modules

  • Module 01 - NLP-1
  • Module 02 - NLP-2
  • Module 03 - RNN&NLP-3
  • Module 04 - Time Series and Forecasting
  • Module 05 - Capstone Project & Presentation
Download Curriculum

Course Fee & Certification

Certification Program in

Machine Learning with Python Training

Fee: ₹ 40,000 + GST

Certification From

Our Alumni Work At

bosch
ewandzdigital
capgemini
ibm
infosis
ikea
accenture
wipro
Tata Consultancy Services
Mu Sigma
Ernst & Young Private Limited
Genpact IT company

Upcoming Batch Schedule

Block your calendar and mark the dates for the upcoming batch. The IoT Academy is happy to announce the schedule for its upcoming course Machine Learning with Python! Go through the dates and feel free to contact us for any queries. We are here to support you round the clock.

25th June 2024

Industry Projects

Machine learning with python has many applications in areas like virtual personal assistance, face recognition, video surveillance, and more. Students will get to experience projects from various end to end domains. Some of the domains are:

Education
Education

Machine learning is transforming education sectors and improving the ways of teaching and research.

banking and finance
Banking & Finance

Using a vast range of open-source ML algorithms and tools, one can organise financial data quickly.

Automotive Industry
Automotive Industry

Python is most suitable for testing new automotive systems like steering control systems, and brake control units.

Healthcare
Healthcare

Machine Learning is valuable for the healthcare industry, as it helps in making sense of the massive amounts of healthcare data.

Manufacturing
Manufacturing Industry

From applications for visual computerization to enabling predictive maintenance, both ML & Python are supporting the manufacturing industry.

Our Instructor

kaushlendra singh sisodia
Kaushlendra Singh Sisodia
Industry Expert/Program Advisor

Director at Uniconverge Technologies
IIT Kanpur Alumnus

abhit kaul
Abhit Kaul
Head-Business Growth & Strategy

Uniconverge Technologies

pankaj kumar
Pankaj Kumar
Machine Learning With Python Expert

The IoT Academy

Key Features Of Machine Learning With Python

180 hours Course durations
180 Hours Course Durations
4 Live project
4+ Live Projects
100% job assistants
100% Job Assistance
1:1 Industry mentors assistants
1:1 Industry Mentors Assistants

Upcoming Application Deadline

Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.

Application Deadline: 25th June 2024

Reviews &Testimonials

Aditi Yadav
Placed In Transerve technologies

The course is great: I feel good to be a part of The IoT Academy as it has helped me to learn concepts clearly and in a concise manner. I have learned new things which I never knew about before and the faculty has helped me in achieveing my career goals.

Aditi Yadav
tanu chinwan
Placed In Capgemini

Grab the opportunity: If you commit to this course, whether it's for upskilling or for a better opportunity, the lessons you shall learn will last a lifetime and, the internship impressed me the most. This has helped me to crack my dream for which I am grateful.

Tanu Chinwan
vashali singh
Placed In Ultimate Kronos Group

The Way of teaching is up to the mark: The content is engaging and well-organized. The animation in the lectures is beneficial. The course notes are excellent as well. How things are explained is excellent. The instructor is simply outstanding in every way.

Vaishali Singh
narayan das
Placed In Transerve Technologies

The course was fantastic: I've learnt a lot like basic statistics, advanced level statistics, how to write the script in python based on given data and how to predict the outcome based on your previous data. I would highly recommend joining this course at The IoT Academy.

Narayan Das Ahirwar

FAQs for Machine Learning With Python Training

Why Machine Learning With Python Course From The IoT Academy?

The Machine Learning with Python course is designed by experts for graduated students and working experts. In this course, they can learn and understand more about Python Programming and Machine Learning. The training includes Introduction to machine learning with python, learning about significant concepts in Python, Introduction to statistics, Linear Algebra, ML applications & Landscape, Supervised Learning, and more.

How Do I Get Started With Machine Learning With Python Programming?

There are other languages you can use for Machine Learning like R but Python is the most suitable language for ML. So if you have decided to learn ML, you must learn Python using various online resources and offline courses.

Why Do You Focus On Python For Machine Learning?

Python provides code that is clear and readable. Python is simple and enables developers to create dependable systems. But ML and AI are powered by complex algorithms. Although they have flexible workflows. Developers need to put much effort on solving an ML problem.

Can I Do An Internship For Machine Learning With Python Mastery?

Machine learning automates the creation of analytical models and belongs to the AI field. In India, there are numerous prospects in the fields of ML and AI. You can do an internship in any of the reputed firms to start your career and gain expertise.

In How Many Days Can I Learn Python For Machine Learning?

You might wish to learn Python for machine learning, like many aspiring Data Scientists or Data Analysts, but be concerned that it will take too much time. Your prior programming and Python experience, among other things, will influence how long it takes you to learn Python for Machine Learning.

What Topics Of Python Are Required For A Machine Learning Course?

There will be a major focus on practical learning with all the many concepts you will study. Working with Python libraries will be part of your lab work as you put your knowledge to use. The participants in the machine learning workshop receive technical instruction on the ideas and machine learning techniques needed to write the code.

I am New To Machine Learning. Can I Learn Python Without Any Difficulty?

Whether you are already familiar with the basics of Python programming or have experience with another programming language will determine how difficult it will be to learn Python for machine learning.

Is This Machine Learning Training Course Suitable For Beginners?

Anyone wishing to learn machine learning and deep learning to boost their employability will find the curriculum to be suitable. Machine learning training in Noida provides a detailed guidance to all the topics.

When Will I Have Access To The Lectures And Assignments During My Machine Learning Course?

As soon as you start the training sessions, you will get the related lectures and the assignments on the topics covered. There will be an overall assessment too at the end of the Python Machine Learning Course.

Does Machine Learning Program Provide A Job Assistance ?

You will be able to make a successful career in a reputable IT organisation. We will assist you in getting a job in a reputed firm. However, you must understand the topics and join the sessions properly. Our trainers will help you resolve any issue with the topics. People in India who are already applying machine learning in the fields of image processing, pattern analysis, marketing, and data analysis have a promising future.
we guide the students in better placement based on their skills. We help them with :

  • Resume building
  • Personality skill development session
  • Increasing online visibility on platforms like Linked In, Naukri, etc.
  • Additional interview preparation study material.
  • Placement assistance by referring to Edureka's Partner Hiring Companies

Why Is Offline Machine Learning With Python Training A Better Option?

Doubt clearing sessions and discussions with trainers and other students are encouraged in offline programs, and this helps the students develop new abilities.

Machine Learning Engineer Salary In India

The average yearly income for a machine learning engineer in India is 6.9 lakhs, with salaries ranging from 3.0 lakhs to 20.0 lakhs. Salary projections are based on the 3.6k salaries that machine learning engineers have provided.

Career Opportunity In Machine Learning Course

The number of employment-related to Machine Learning is increasing along with it. You can be a Machine Learning Engineer, Data Scientist, Business Intelligence Developer, and much more.