Course Access
6 months
Last Updated
October 26, 2024
Students Enrolled
46
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
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- Introduction to Machine Learning 01:02:00
- Introduction to Machine Learning Quiz 00:15:00
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- 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
Way of Explanation is great