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Introduction to Machine Learning Algorithms and their Implementation in Python in Bangalore

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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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 in Bangalore

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 in Bangalore

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
4.8

Strive for Excellence with the Introduction to Machine Learning Algorithms and their Implementation in Python Course in Bangalore

This short-term course teaches you how to design machine learning algorithms in an organised manner and also how to execute them.

Skill-Lync's course will help you learn concepts like Python programming, data science, linear regression, neural network and logistic regression. The preliminary module imparts knowledge on the role of data scientists in the prediction of future values, variables, data structures, operators, and control structures as a component of Python programming. 

This 12-week-long course is designed with the help of industry experts with 14 years of experience. It comprises two projects based on industry norms. As a data professional, you will understand how to anticipate future stock market values using existing data. This machine learning certification course will allow you to gain insight into developing forewarning systems or EWS from provided datasets. 

After completing this machine learning course, you will be given a course completion certificate. If you're in the top 5% of the course, you will qualify for a merit certificate. 

FAQs about the Introduction to Machine Learning Algorithms and their Implementation in Python Course in Bangalore

Why should I choose Skill-Lync's Introduction to Machine Learning Algorithms and their Implementation in Python course in Bangalore?  

The machine learning industry is expanding at 44% a year, and there is a need for competent professionals. If you get into a machine learning course, you can upgrade your skills and put yourself in a place where your talent will be in demand. This course focuses on the fundamentals of converging data using a clustering algorithm, decision tree, principal element analysis, and random forest.

What are the prerequisites for taking up the Introduction to Machine Learning Algorithms and their Implementation in Python course in Bangalore?  

Students with a background in electrical engineering can apply for this machine learning course.

What is the program fee for Skill-Lync's Introduction to Machine Learning Algorithms and their Implementation in Python course in Bangalore

This machine learning with Python training course has three fee plans: Basic, Pro, and Premium. The Basic plan offers 2 months' access at Rs 7000 per month for 3 months. The Pro plan provides 4 months' access at Rs 10,000 per month for 3 months, and the Premium plan offers lifetime access at Rs 15,000 per month for 3 months. 

What are the benefits of doing the Introduction to Machine Learning Algorithms and their Implementation in Python course in Bangalore?

Pursuing a course at Skill-Lync would offer many benefits to you.

  • Industry-oriented curriculum.
  • Hands-on experience in solving industry projects.
  • Email and forum support from the technical support team to clear your doubts.
  • A certificate of completion for all participants and a merit certificate for the top 5% of the scorers.

What are the career prospects after completing Skill-Lync's Introduction to Machine Learning Algorithms and their Implementation in Python course in Bangalore?

After completing the machine learning certification course, you will be eligible for roles like:

  • Machine Learning Engineer
  • AI Engineer
  • Python Programmer
  • Natural Language Processing Specialist

After completing this course, what is the expected salary range?

The salary after completing the machine learning course in Bangalore depends upon your skills and experience. The average salary of a machine learning engineer is Rs. 7.27 lakhs per annum.

Can you tell me more about Skill-Lync?

Skill-Lync is among India's leading EdTech platforms dedicated to transforming engineering education. We equip young engineers with the latest skill sets and cutting-edge tools in new-age technologies.

The brainchild of two engineers, Skill-Lync, is on a mission to bridge the skill gap between aspiring professionals and the industry's demands through job-oriented courses.

Flexible Pricing

Talk to our career counsellors to get flexible payment options.

Premium

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.

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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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