Machine Learning for Electrical Engineers using Python

BY
Skill Lync

Learn the basis as well as specialized subjects in Machine Learning by enrolling for Machine Learning for Electrical Engineers using Python from Skill Lync.

Mode

Online

Duration

12 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

Skill Lync academy is introducing a programme for Machine Learning for Electrical engineers using Python for the aspirants who want to look at their careers in machine learning fields. The academy makes the candidates skilled and capable of meeting the requirement that recruiters may expect in the workplace. Therefore, aspirants who look for a job with certification in this place will be the best ones. So, the academy is useful for students to brighten their careers.

With the enhancing world with technology and machine mechanisms, all-around machine learning has become rampant nowadays. Manual work has been declined with the rapid automation of machines. Therefore, it comes to the use of Machine Learning. For efficient results, the python platform is reliable and robust. With the development criteria of security in Machine learning, many organizations vowed to work with Machine learning using Python. Therefore, there comes the need to learn Machine learning using Python.

The academy Skill Lync has collaborated with many global companies and MNCs. The academy has brought many careers to light in the fields of machine learning and artificial intelligence. There are industry experts with experience with real tools that are applicable in the workplace. Therefore, aspirants who choose this academy are in the right zone to colour their career.

The highlights

  • Access to choose a flexible fee plan
  • Top 5% of members eligible for merit certificate
  • Certification by Skill Lync 
  • Completion certificate

Program offerings

  • Online video lecture
  • Recordings
  • Assignments
  • Real-world projects
  • Pre-recorded content
  • Quiz

Course and certificate fees

Machine Learning for Electrical Engineers using Python fee details

HeadAmount
Programme feesRs. 40,000
certificate availability

Yes

certificate providing authority

Skill Lync

Who it is for

The course Machine Learning for Electrical Engineers using Python  is best for: 

  • For the candidates who need to gain project experience in Artificial Intelligence, Machine Learning with Python
  • For electrical engineering students, who need to look at their career in the field of Machine learning, artificial Intelligence with python

Eligibility criteria

Education

Aspirants applying for Machine Learning for Electrical engineers using Python programme should have some knowledge with respect to programming and statistics

Certificate qualifying details

The candidate who is in the top 5%, will be awarded a merit certificate. Also, the candidate who completed the course completely will be given a course completion certificate for Machine Learning for Electrical engineers using the Python programme.

What you will learn

Machine learning Knowledge of python
  • Machine learning and python for the development of automated machines and programming
  • Clustering for dividing and segmenting into different groups based on its characteristics
  • Decision tree for taking decisions and choosing the best alternative among different alternatives.

The syllabus

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

  • 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

  • Variables
  • Operators 
  • Data Types 
  • Data Structures 
  • Control Structures 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

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

Week 7: Univariate and Multivariate Linear Regression

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

Week 8: Principal Component Analysis

  • Eigen Values
  • Eigen Vectors
  • Singular Value Decomposition
  • Principal Component Analysis (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 Networks

  • Logistic Regression with Neural Network Mindset

Admission details


Filling the form

To participate in Machine Learning for Electrical Engineers using Python programme following steps needs to be followed:

Step-1: Visit the course website and select the enrol now button present on the website.

Step-2: You will be redirected to the fee sessions where again after choosing the course type, you will have to click on enrol now. 

Step-3: You will be asked to sign up and for that, you will have to fill up all the relevant details 

Step-4: Next you have to pay the fee and the website will take you to payment options and you will pay the fee with NetBanking, UPI, Credit card, or debit card

Step-5: You will receive the transcription script and application number

Step-6: After the confirmation message received, you can continue with your course. 

How it helps

The programme Machine Learning for Electrical Engineers using Python is beneficial for the candidates who look at the growth of a career in Machine Learning and Artificial Intelligence using Python. The academy is popular to lighten up many careers of the students by offering the job assistance training programme after the completion of the course. There are applications training with tools and programmes that are trained by industrial experts and professionals. After the completion of the course, all the candidates will receive a course completion certificate and the top 5% of students will also receive a merit certificate. 

The programme is beneficial to the candidates for learning on a conceptual basis and for applying the programming in industrial places or workplaces. Candidates can have communication with faculty by telephone, WhatsApp, and email. There is the availability of faculty all the time. For self-learning, candidates will be given the assignments, practice assessments, and real-world based examples for projects. Every candidate is guided by instructors to get the task completed. Each candidate has an individual profile with a username and password to get the performance evaluation. Also, candidates can download their progress metrics on the website.

The main goal of the academy is to make the candidate confident for getting the job and the academy fulfils the candidates to get all the skills that are required for the candidate to get the job in top MNCs. Although the academy collaborated with many Global and MNCs to get the job in the desired organization in the desired field. Therefore, the academy fills colours to the career of the candidates without any exaggeration. The academy can make the candidate’s dream come true.

FAQs

How can I benefit from the programme?

Candidates coming under top 5% will get a merit certificate and all the candidates will be given a course completion certificate once the course gets completed. Academy offers job assistance training to the candidates.

Can I access video recordings all the time?

Candidates can access video recordings throughout their course duration offline. For the premium plan student's videos and all lectures can be accessed throughout their lifetime. But for the pro plan and basic plan videos can be viewed only up to the course duration.

How can I contact faculty if I have any doubt?

Candidates can contact faculty anytime for doubt resolutions. For basic plan candidates, WhatsApp and email support are available. For Pro and premium plan candidates there is an availability of individual video support group video support, and telephone support as well.

Can I get a fee refund if I quit the course?

No, the candidate will not get the refund fee if the candidate leaves the course. Therefore the candidate should be cautious while joining in the course and paying the fee.

Can I rejoin in the course if I did not get admitted?

Yes, the candidate should apply again and need to fill in the details again and get admitted. If the fee is already paid the candidates admission will not fail and no need to pay the fee again

How can I learn the course?

Academy helps students to get skilled conceptually with practical and technical knowledge as well. There are practice assessments and assignments for the self-learning of students. Candidates will be trained with industry experts that are equivalent to training in industries.

Can I get access to classes again if I skip the classes?

The programme has recording availability and the recorded classes can be viewed anytime without any issues. But the recording sessions are made only during the course duration and are not available after the completion of the course.

What if I cannot submit projects on time?

Students are guided by instructors for getting submitted to projects and assignments. If candidates cannot submit instructors help the candidates to complete the task within the time and get completed.

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