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Machine Learning and AI

Course Reviews

Track :

Programming

Lessons no : 29

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What will you learn in this course?
  • Develop practical machine learning models using Python and popular libraries like scikit-learn and TensorFlow
  • Apply supervised and unsupervised learning techniques to real-world datasets for predictive analytics
  • Implement data preprocessing, feature engineering, and model evaluation to improve AI system accuracy
  • Design and deploy AI algorithms for classification, regression, clustering, and recommendation systems
  • Analyze machine learning performance metrics to optimize AI models for specific business applications
  • Integrate AI and machine learning solutions into existing software systems for automation and decision-making
  • Identify ethical considerations and biases in AI models to ensure responsible machine learning practices
  • Utilize AI tools to automate data analysis, pattern recognition, and decision processes in various industries
  • Troubleshoot common issues in machine learning workflows to enhance model robustness and reliability
  • Stay updated with emerging AI trends and advancements to continuously improve machine learning applications

How to Get The Certificate

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  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 29
Machine Learning Tutorial 1 Intro to Machine Learning and A I
00:05:05

Machine Learning Tutorial 1 Intro to Machine Learning and A I
Machine Learning Tutorial 2 Intro to Predictive Data Analytics
00:09:06

Machine Learning Tutorial 2 Intro to Predictive Data Analytics
Machine Learning Tutorial 3 Intro to Models
00:11:37

Machine Learning Tutorial 3 Intro to Models
Machine Learning Tutorial 4 Generalization Algorithms
00:09:15

Machine Learning Tutorial 4 Generalization Algorithms
Machine Learning Tutorial 5 Big Data Data Warehouse Hadoop Federation
00:05:53

Machine Learning Tutorial 5 Big Data Data Warehouse Hadoop Federation
Machine Learning Tutorial 6 Analytical Base Table ABT
00:04:13

Machine Learning Tutorial 6 Analytical Base Table ABT
Machine Learning Tutorial 7 Measures of Central Tendency
00:04:48

Machine Learning Tutorial 7 Measures of Central Tendency
Machine Learning Tutorial 8 Standard Deviation
00:05:44

Machine Learning Tutorial 8 Standard Deviation
Machine Learning Tutorial 9 Continuous and Categorical Features Cardinality
00:03:45

Machine Learning Tutorial 9 Continuous and Categorical Features Cardinality
Machine Learning Tutorial 10 Binning Data
00:04:43

Machine Learning Tutorial 10 Binning Data
Machine Learning Tutorial 11 Cleaning Bad Data
00:04:56

Machine Learning Tutorial 11 Cleaning Bad Data
Machine Learning Tutorial 12 Cleaning Missing Values NULL
00:05:02

Machine Learning Tutorial 12 Cleaning Missing Values NULL
Machine Learning Tutorial 13 Imputation
00:04:42

Machine Learning Tutorial 13 Imputation
Machine Learning Tutorial 14 Cleaning Irregular Cardinality
00:04:13

Machine Learning Tutorial 14 Cleaning Irregular Cardinality
Machine Learning Tutorial 15 Outliers
00:04:03

Machine Learning Tutorial 15 Outliers
Machine Learning Tutorial 16 Clamp Transformation
00:04:55

Machine Learning Tutorial 16 Clamp Transformation
Machine Learning Tutorial 17 Using Models for New Data
00:04:35

Machine Learning Tutorial 17 Using Models for New Data
Machine Learning Tutorial 18 Algorithms and Models
00:05:14

Machine Learning Tutorial 18 Algorithms and Models
Machine Learning Tutorial 19 Supervised Unsupervised Algorithms
00:05:16

Machine Learning Tutorial 19 Supervised Unsupervised Algorithms
Machine Learning Tutorial 20 Trees and Binary Trees
00:03:01

Machine Learning Tutorial 20 Trees and Binary Trees
Machine Learning Tutorial 21 Decision Trees
00:05:11

Machine Learning Tutorial 21 Decision Trees
Machine Learning Tutorial 22 Discriminatory Power
00:07:14

Machine Learning Tutorial 22 Discriminatory Power
Machine Learning Tutorial 23 Recursion
00:05:58

Machine Learning Tutorial 23 Recursion
Machine Learning Tutorial 24 Recursion Base Cases
00:04:04

Machine Learning Tutorial 24 Recursion Base Cases
Machine Learning Tutorial 25 Intro to the ID3 Algorithm
00:06:40

Machine Learning Tutorial 25 Intro to the ID3 Algorithm
Machine Learning Tutorial 26 ID3 Algorithm Part 2
00:04:44

Machine Learning Tutorial 26 ID3 Algorithm Part 2
Machine Learning Tutorial 27 ID3 Algorithm Part 3
00:05:04

Machine Learning Tutorial 27 ID3 Algorithm Part 3
Machine Learning Tutorial 28 Bar Plots Bar Graphs
00:02:03

Machine Learning Tutorial 28 Bar Plots Bar Graphs
Machine Learning Tutorial 29 Histograms
00:02:50

Machine Learning Tutorial 29 Histograms


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Anoopa kumar p 

nice one
2025-10-10

Dhanushriks303 

Good
2025-10-07

Jayashree 

Good
2025-10-07

R. Dharani 

Excellent
2025-10-02

P RASIKA 

Very useful ..
2025-10-02

Prerana Kumari 

Best platform
2025-08-28

Snehal Maturkar 

Very good explain
2025-08-07

Arpita Puhan 

Good
2025-05-25

Tinotenda Hillary Muchemwa 

Awesome!
2025-05-20

Taniyah 

Awsome
2025-04-13

Chelsea Bertrand 

great course
2025-03-31

Xavier Hill 

Thanks
2025-03-31

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Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention .