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Machine Learning specialization
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Machine Learning

4.8

(819 ratings)

Batch Starts : October 1, 2021

Learn and apply fundamental machine learning concepts in this specialisation, get real-world experience with the capstone project. This specialisation covers concepts like regression, classification, model evaluation, clustering and building machine learning web apps using flask, deploying machine learning model to cloud. All classes are live instructed by mentor accompanied by unique "notebook" to revise and practice the concepts.

Features

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Shareable Certificate
Earn a Certificate upon completion
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Instant Doubt Resolution
Get your doubt clarified instantly
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100% online Live Class
Mentor driven live classes.
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Practice Material
Get Notebook to revise, practice, test your self and interact with mentor

What you'll learn

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How to predict using regression analysis
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Classify things using logistic regression, KNN algos
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How to evaluate machine learning models
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How to build and deploy machine learning models to cloud

Class Syllabus

  • Class 1: Introduction to Machine Learning

    Understanding limitations of algorithm and need of machine to learn, Type of Machine Learning, Supervised and Unsupervised Learning.
  • Class 1

    October 1, 2021 | 01:00 PM

    Introduction to Machine Learning

    Understanding limitations of algorithm and need of machine to learn, Type of Machine Learning, Supervised and Unsupervised Learning.
October 1, 2021 | 01:00 PM
  • Class 2: Simple Linear Regression

    Supervised learning, Understanding Linear Regression, Relation between variables, Correlation, Best Fit Line, line equation, best fit line, Sklearn, train test split, case study on simple linear regression.
  • Class 2

    October 5, 2021 | 01:00 PM

    Simple Linear Regression

    Supervised learning, Understanding Linear Regression, Relation between variables, Correlation, Best Fit Line, line equation, best fit line, Sklearn, train test split, case study on simple linear regression.
October 5, 2021 | 01:00 PM
  • Class 3: Multiple Linear Regression

    Need of multiple regression, multicollinearity, multiple independent variables and advantage of multiple over simple linear regression, case study on multiple linear regression
  • Class 3

    October 8, 2021 | 01:00 PM

    Multiple Linear Regression

    Need of multiple regression, multicollinearity, multiple independent variables and advantage of multiple over simple linear regression, case study on multiple linear regression
October 8, 2021 | 01:00 PM
  • Class 4: Logistic Regression

    Understanding classification , Regression vs classification, Introduction to logistic regression, sigmoid function, finding equation of logistic regression, converting continuous values to binary, logistic regression equation, case study on logistic regression.
  • Class 4

    October 12, 2021 | 01:00 PM

    Logistic Regression

    Understanding classification , Regression vs classification, Introduction to logistic regression, sigmoid function, finding equation of logistic regression, converting continuous values to binary, logistic regression equation, case study on logistic regression.
October 12, 2021 | 01:00 PM
  • Class 5: Model Evaluation

    Finding out how to measure whether a good model is developed or bad. Using Model evaluation such as Classification score, Confusion Matrix, Precision, Recall and Accuracy score.
  • Class 5

    October 15, 2021 | 01:00 PM

    Model Evaluation

    Finding out how to measure whether a good model is developed or bad. Using Model evaluation such as Classification score, Confusion Matrix, Precision, Recall and Accuracy score.
October 15, 2021 | 01:00 PM
  • Class 6: K Nearest Neighbors

    Extending classification for multiple classes using K nearest neighbor, what is K Nearest Neighbors, Defining value of K and optimum value of K, case study on KNN
  • Class 6

    October 19, 2021 | 01:00 PM

    K Nearest Neighbors

    Extending classification for multiple classes using K nearest neighbor, what is K Nearest Neighbors, Defining value of K and optimum value of K, case study on KNN
October 19, 2021 | 01:00 PM
  • Class 7: K Means Clustering - Unsupervised Learning

    Looking at unsupervised learning, introduction to clustering algorithm, K means clustering algorithm and how to decide value of K, Elbow method, case study on K Means Clustering
  • Class 7

    October 22, 2021 | 01:00 PM

    K Means Clustering - Unsupervised Learning

    Looking at unsupervised learning, introduction to clustering algorithm, K means clustering algorithm and how to decide value of K, Elbow method, case study on K Means Clustering
October 22, 2021 | 01:00 PM
  • Class 8: Flask - Deploying ML Apps on Cloud Service

    Basics of web development, Html, CSS, Intro to flask, Deploying web app using flask Case study: Deploy a ML apps using flask
  • Class 8

    October 26, 2021 | 01:00 PM

    Flask - Deploying ML Apps on Cloud Service

    Basics of web development, Html, CSS, Intro to flask, Deploying web app using flask Case study: Deploy a ML apps using flask
October 26, 2021 | 01:00 PM
  • Class 9: Capstone Project - Machine Learning

    Capstone Project - Machine Learning
  • Class 9

    October 29, 2021 | 01:00 PM

    Capstone Project - Machine Learning

    Capstone Project - Machine Learning
October 29, 2021 | 01:00 PM

Prerequisites

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Basic understanding of Python Programming

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Machine Learning

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What our learners have to say about us!

Peter K

sethu institute of technology
5

These classes are very good, mentor answers all queries during live session. The reference material is very good to revise concepts and to practice quiz.

Frequently Asked Questions

What are the differences between 'Explorer', 'Coder' and 'Hacker' subscription types?

In Explorer subscription type you can attend free courses/live classes/sessions any number of times for 1 month (from the date of signup).


In Coder subscription type you can attend all courses/live classes/sessions (both free and paid) unlimited times for 1 year. Additionally you can choose and attend 1 Project session of your interest.


In Hacker subscription type you can attend all courses, projects/live classes/sessions unlimited times for 1 year. Also you can attend all project sessions.

What are Specialisations?

Specialisations are career paths. They guides you about the particular career path, why its important, what skills you need to learn in that career path, classes and projects available in that career path etc.