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

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 in Mumbai

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 Mumbai

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

Work on Real-World Projects with the Introduction to Machine Learning Algorithms and their Implementation in Python Course in Mumbai

This machine learning course will advance your knowledge of Python, enabling you to develop efficient ML algorithms.

The machine learning with Python course discusses computer languages, data science, and the role of data scientists in forecasting future values. You will study variables, operators, data structures, and control structures as part of the Python programming course. 

In addition, this certification course covers the principles of machine learning, data clustering using the clustering method, principal component analysis, decision trees, and random forests.

Concepts will be made clearer through practical data science and manufacturing analytics projects. You will also learn how to predict stock market values using recent data in the machine learning course in Mumbai. Using the datasets that machine learning provides, you can build early warning systems or EWS.

It is one of the best machine learning certification courses as you will also be made familiar with the basic Python libraries, such as Pandas, Numpy, Seaborn, and Scipy.

FAQs About the Introduction to Machine Learning Algorithms and their Implementation in Python Course in Mumbai

Why should I choose the Introduction to Machine Learning Algorithms and their Implementation in Python course in Mumbai?

The ML course in Mumbai will cover the bias-variance tradeoff, cross-validation model fitting, and the foundations of machine learningAdditional components included in the course are K-nearest neighbour, what is the use of machine learning, hierarchical clustering, K-mean, and others.

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

The course is specially curated for students and graduates of electrical, computer science and related engineering streams.

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

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 pursuing the Introduction to Machine Learning Algorithms and their Implementation in Python course in Mumbai?

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.

After completing the Introduction to Machine Learning Algorithms and their Implementation in Python course in Mumbai?

After completing this course, you can apply for different positions, such as:

  • Machine Learning Engineer - Tensorflow/Neural Networks
  • AI Engineer
  • Python Programmer

What is the expected salary range after completing the Introduction to Machine Learning Algorithms and their Implementation in Python course in Mumbai?

The salary of a machine learning engineer in India ranges from INR 3.5 lakhs to 21.6 lakhs. However, it depends upon your skills and expertise. 

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.

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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