All in One Offer! | Access Unlimited Courses in any category starting at just $29. Offer Ends in:

Browse Library

  • Business Solutions
  • Become an Instructor
  • 0
    Shopping Cart

    Your Cart is empty. Keep shopping to find a course!

    Browse Courses
Get Unlimited Learning Access
2 days left at this price!
30-Day Money-Back Guarantee

This plan includes

  • Instant access to 11,000+ online courses
  • Play & Pause Course Videos
  • HD Video Recorded Lectures
  • Learn on Mobile/PC/Tablet
  • Quizzes and Real Projects
  • Lifetime Course Certificate
  • Instructor Chat Support
  • Cancel Plan Anytime
Subscribe to Learnfly’s top courses
Get this course, plus 11,000+ of our top-rated courses for one year with Go Annually Plan.
$348 $244 a year Save 30%
2 days left at this price!
30-Day Money-Back Guarantee

This plan includes

  • Instant access to 11,000+ online courses
  • Play & Pause Course Videos
  • HD Video Recorded Lectures
  • Learn on Mobile/PC/Tablet
  • Quizzes and Real Projects
  • Lifetime Course Certificate
  • Instructor Chat Support
  • Cancel Plan Anytime
  • Learning will get expertise in Machine learning and he will be able to work as data scientest/ ML engineer.

This course will cover following topics

1. Basics of machine learning

2. Supervised and unsupervised learning

3. Linear regression

4. Logistic regression

5. KNN Algorithm

6. Naïve Bayes Classifier

7.  Random forest Algorithm

8. Decision Tree Algorithm

7. Principal component analysis

8. K-means clustering

9. Agglomerative clustering

10. There will practical exercise based on Linear regression, Logistic regression ,Naive Bayes, KNN algorithm, Random forest, Decision tree, K-Means, PCA .

11. There will be quiz for each topics and total 200 Questions on machine learning course


We will look first in to linear  Regression, where we will learn to predict continuous variables and this will details of  Simple and Multiple Linear Regression, Ordinary Least Squares, Testing your Model, R-Squared and Adjusted R-Squared.

We will get  full details of  Logistic Regression, which is by far the most popular model for Classification. We will learn all about Maximum Likelihood, Feature Scaling, The Confusion Matrix, Accuracy Ratios.... and you will build your very first Logistic Regression

We will look in to Naïve bias classifier which will give full details of Bayes Theorem, implementation of Naïve bias in machine learning. This can be used in Spam Filtering, Text analysis, •Recommendation Systems.


Random forest algorithm can be used in regression and classification problems. This gives good accuracy even if

data is incomplete.


Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems, but mostly it is preferred for solving Classification problems.


We will look in to KNN algorithm which will working way of KNN algorithm, compute KNN distance matrix, Makowski distance, live examples of implementation of KNN in industry.

We will look in to PCA, K-means clustering, Agglomerative clustering which will be part of unsupervised learning.

Along all part of machine supervised and unsupervised learning , we will be following data reading , data prerprocessing, EDA, data scaling, preparation of training and testing data along machine learning model selection , implemention and prediction of models.

  • Person should know basic programming of Python. He should have laptop with good processing capacity along Anaconda software installed him laptop or disktop.
  • The students should be engineering graduate preferable done engineering in computor science or electronics and communication engineering. Course is good for those who wants to be datas scientest/ Machine learning engineer.
View More...
  • Section 1 : Basics of machine learning 3 Lectures 00:52:24

    • Lecture 1 :
    • Basics of machine learning, data in machine learning Preview
    • Lecture 2 :
    • Supervised learning, Unsupervised learning , advantages and disadvantages of ML
    • This video will cover Supervised learning, Unsupervised learning , advantages and disadvantages of ML.
    • Lecture 3 :
    • ML life cycle, Exploratory data analysis , ML Challenges and libraries
    • This video will cover ML life cycle,  Exploratory data analysis , ML Challenges and libraries.
  • Section 2 : Linear Regression 3 Lectures 01:29:12

    • Lecture 1 :
    • Linear and multiple linear regression, cost function, gradient decent method
    • This video will cover Linear and multiple linear regression, cost function, gradient decent method.
    • Lecture 2 :
    • practical exercise - car price prediction model using linear regression
    • We will do predict car price using linear regression.
    • Lecture 3 :
    • Assumptions, Advantages and disadvantage, best practices, MAE, MAPE,MSE L regres
    • This video will cover Assumptions, Advantages and disadvantage, best practices, MAE, MAPE,MSE of linear regression.
  • Section 3 : Logistic regression 2 Lectures 00:46:50

    • Lecture 1 :
    • Logistic regression
    • Where to use logistic regression and its definition, types of logistic regression,Logistic Function,Application and Assumption in a Logistic Regression Algorithmof logistic regression,flow chart
    • Lecture 2 :
    • pratical exerice - Heart disease analysis using logistic regression
    • We will do predict heart disease prediction using Logistic regression.
  • Section 4 : KNN Algorithm 2 Lectures 00:37:03

    • Lecture 1 :
    • KNN Algorithm
    • KNN Algorithm, Working of KNN Algorithm,Selection of K value, When we use KNN algorithm,Compute KNN: distance metrics,Minkowski distance,Hamming distance,Pros and Cons of KNN
    • Lecture 2 :
    • Practical exercise using KNN Algorithm for Tumor classification
    • We will do predict Tumor classification using KNN Algorithm .
  • Section 5 : Naïve Bayes Algorithm 2 Lectures 00:20:38

    • Lecture 1 :
    • Naïve Bayes Algorithm
    • Lecture 2 :
    • Practical excerise using Navie Bayes for SPAMs
    • We will do predict SPAMs prediction using Navie Bayes Alogrithm
  • Section 6 : Random forest algorithm 2 Lectures 00:29:35

    • Lecture 1 :
    • Random forest alorgthim
    • RANDOM FOREST IN CLASSIFICATION AND REGRESSION,Working of Random Forest Algorithm,Pros and Cons of Random Forest,Random Forest Applications,Assumptions for Random forest,Reason for using Random forest,Random forest implementation steps,Random forest flow chart.
    • Lecture 2 :
    • Practical example using Random forest algorithm
    • We will do Climate Prediction using Random Forest algorithm.
  • Section 7 : decision tree algorithm 2 Lectures 00:21:28

    • Lecture 1 :
    • decision tree algorithm
    • Lecture 2 :
    • Practical example using decision tree algorithm
    • We will do exercise on disease prediction using decision tree algorithm.
  • Section 8 : Unsupervised learning 1 Lectures 00:22:04

    • Lecture 1 :
    • Unsupervised learning , type of unsupervised learning, adv and disadvantages etc
    • This video covers basics of unsupervised learning, difference between supervised and unsupervised learning, types of unsupervised learning, clustering types, basics of Hierarchical Clustering ,Agglomerative clustering, Dendrogram, K-nearest neighbors ,unsupervised learning applications and disadvantages of unsupervised learning, summary of unsupervised learning.
  • Section 9 : PCA and live exercise on unsupervised learning. 2 Lectures 00:42:42

    • Lecture 1 :
    • Principal component analysis
    • Lecture 2 :
    • live exercise on unsupervised learning
    • basics of PCA,PCA steps of implementation, Reason for using PCA and its applications, working of PCA,Terms used in PCA algorithm etc.
  • How do i access the course after purchase?

    It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
  • Are these video based online self-learning courses?

    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
  • Can i play & pause the course as per my convenience?

    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
  • How do i contact the instructor for any doubts or questions?

    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
  • Do i need a pc to access the course or can i do it on mobile & tablet as well?

    Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
  • Do i get any certificate for the courses?

    Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
  • For how long can i access my course on the platform?

    You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.
  • Is there any free trial?

    Currently, we do not offer any free trial.
  • Can i cancel anytime?

    Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

2222 Course Views

23 Courses

More than 25 years of experience in  industry and working in stock market as independent Investment Consultant, Trainer and Trader NCFM Certification: Technical Analysis Module Fundamental Analysis Module Options Strategies Module Investment analysis and Portfolio Management Post graduation diploma : Computer science and Airticifical intelligence Aside life time certifications on blockchain, cyber security and metaverse Certified blockchain expert Certified metaverse expert Certified cyber security expert NSIM Certification: NSE Certified Research Analyst     Achievement in financial Market NSE Academy Certified Market professional (NCMP)- Level 1 Award October 2019 I give coaching in following area and doing consultancy in financial market. 1. Technical Analysis 2. Fundamental Analysis 3. Options Strategies 4. Research Analysis 5. Intra Day and Swing Trading 6. Nifty and Bank Nifty Trading 7. Future Trading 8. Portfolio Management
View More...
  • Unmatched Variety and Value!
    Learnfly's monthly subscription offers unlimited access to a vast range of courses. Affordable pricing, compared to competitors, makes it the ultimate choice for continuous learning.
    Jessica M.


  • Top-Notch Quality, Affordable Rates!
    High-quality courses with certified instructors make Learnfly stand out. The affordable pricing is a game-changer for those seeking premium education.
    Alex P.


  • Certified Excellence Every Time!
    Learnfly's courses, taught by certified instructors, ensure top-notch learning experiences. The course completion certificates add significant value to one's skill set.
    Sarah R.


  • Round-the-Clock Support!
    Learnfly goes the extra mile with 24/7 course support. Their dedication to helping students succeed is commendable.
    Ryan K.


  • Learn Anywhere, Anytime!
    Whether on mobile, PC, or tablet, Learnfly's platform offers flexibility. Learning on the go has never been easier.
    Emily S.


  • Job-Ready Skills!
    Learnfly's job-oriented courses equip learners with practical skills for the workplace. An investment in career growth!
    Jake M.


  • Budget-Friendly Brilliance!
    Learnfly's pricing is a steal for the quality and variety of courses offered. Quality education without breaking the bank.
    Olivia T.


  • Instructor Excellence Unleashed!
    Learn from the best with Learnfly's certified instructors. The platform ensures that knowledge is imparted by industry experts.
    Daniel L.


  • Achievement Unlocked!
    Learnfly not only offers courses but also recognizes your efforts with course completion certificates. A sense of accomplishment with every course finished.
    Maya H.


  • Learning Revolution!
    Learnfly's platform is a revolution in education. Access to unlimited courses at affordable rates is a game-changer.
    Ethan W.


  • big-data-pipeline-applied-to-ufos

    Big Data Pipeline Applied to UFOs

    By : Eduardo Morelli

    Lectures 6 Beginner 0:16:47
  • git-and-github-version-control-the-complete-startup-guide

    Git and GitHub Version Control - Th...

    By : Abhilash Nelson

    Lectures 15 Beginner 1:34:6
  • statistics-for-data-scientists-and-data-analysts

    Statistics for Data Scientists and ...

    By : Phikolomzi Gugwana

    Lectures 31 Intermedite 0:36:49
  • big-data-and-hadoop

    Big Data and Hadoop

    By : Saheb Singh chaddha

    Lectures 26 Beginner 0:1:29
  • technical-writing-how-to-write-software-documentation-using-dita-xml

    Technical Writing: How to Write Sof...

    By : Jordan Stanchev

    Lectures 21 Beginner 3:35:45
  • apache-nifi-the-complete-guide-part-1

    Apache NiFi - The Complete Guide (P...

    By : Manoj G T

    Lectures 19 Beginner 1:23:18

Students learning on Learnfly works with Fortune 500 companies around the globe.

Sign Up & Start Learning
By signing up, you agree to our Terms of Use and Privacy Policy
Reset Password
Enter your email address and we'll send you a link to reset your password.