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5

1

ratings 

Live

$15
Course Access

6 months

Last Updated

October 26, 2024

Students Enrolled

47

Total Curriculum

37

Certification
  • Introduction to Machine Learning: Learn the fundamentals of machine learning, its applications, and how it’s transforming industries. Understand key concepts such as supervised and unsupervised learning, and the machine learning workflow.
  • Data Pre-processing in ML: Master the techniques of preparing data for machine learning models, including data cleaning, normalization, and feature engineering. Explore methods for handling missing data, outliers, and transforming data for optimal performance.
  • Machine Learning Algorithms: Dive deep into various machine learning algorithms, including regression, classification, clustering, and more. Understand how algorithms like linear regression, decision trees, k-nearest neighbors, and support vector machines work.

Course Curriculum

    • Introduction to Machine Learning 01:02:00
    • Introduction to Machine Learning Quiz 00:15:00
    • Data processing 00:38:00
    • Data processing Quiz 00:05:00
    • Data cleaning 00:40:00
    • Data cleaning Quiz 00:05:00
    • Data transformation and reduction 00:43:00
    • Data transformation and reduction and Step in pre-processing Quiz 00:05:00
    • Project 00:40:00
    • Linear Regression 00:52:00
    • Linear Regression Quiz 00:05:00
    • project 8 Simple Linear Regression 02:00:00
    • Regularization techniques: L1 and L2 00:38:00
    • Regularization techniques Quiz 00:05:00
    • Logistic Regression 01:02:00
    • Logistic Regression Quiz 00:05:00
    • Project 9 Logistic Regression 02:00:00
    • K-nearest Neighbours 01:03:00
    • K-nearest Neighbours Quiz 00:05:00
    • Project 10 K-Nearest Neighbors 02:00:00
    • Decision Tree 01:08:00
    • Decision Tree Quiz 00:05:00
    • Project 11 Decision Tree 02:00:00
    • Support Vector Machine 00:58:00
    • Support Vector Machine Quiz 00:05:00
    • Project 12 Support Vector Machine 02:00:00
    • Naive Byes 00:48:00
    • Naive Byes Quiz 00:10:00
    • Project 13 Naive Bayes 02:00:00
    • Ensembling techniques: Random forest 01:00:00
    • Random forest Quiz 00:10:00
    • Project 14 Random forest 02:00:00
    • Clustering: K-means 00:37:00
    • K-means Clustering Quiz 00:10:00
    • Project 15 K means 02:00:00
    • Dimentiality reduction: PCA 01:02:00
    • PCA Quiz 00:05:00

Course Reviews

5

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1 ratings
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  1. Amazing Course
    5

    Way of Explanation is great

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