AI & ML Using Python & Excel

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Course Overview Sample Lesson

Module 1 – Introduction To Machine Learning 3 Topics

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What is Machine learning

Need of Machine learning

Advantages of Machine Learning

Module 2 – Applications of Machine Learning 2 Topics

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Industries using Machine Learning widely

Cost-effective solutions driving rapid work progress and efficiency

Module 3 – Types of Machine Learning algorithms 1 Topic

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Popular Machine Learning Algorithms

Module 4 – Python for Machine 2 Topics

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Libraries in Python

Python functions for Machine Learning Algorithms

Module 5 – Loading a dataset in Python 1 Topic

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Loading dataset from various sources in Python

Module 6 – Splitting of dataset in Python 3 Topics

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Preparing train dataset

Preparing test dataset

Dataset Splitting: Train & Test Explained

Module 7 – Data preparation for Machine Learning algorithms 4 Topics

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Missing Value treatment

Treatment of missing value by using Binning

Null value treatment

Outlier treatment

Module 8 – Linear Regression For Machine Learning algorithm 4 Topics

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Linear Regression

Advantages of Linear Regression

Implementation of Linear Regression Using Python Code

Multiple linear Regression & Its Implementation Using Python Code

Module 9- Performers of Model 4 Topics

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Confusion Matrix & Its 4 Quadrants

What is Accuracy?

What is Precision?

What is Recall?

Module 10 – KNN Machine Learning Algorithm 3 Topics

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Introduction KNN Machine Learning Algorithm

Advantages of KNN

Implementation of KNN Machine Learning Algorithm Using Python Code

Module 11 – Naive Bayes Machine Learning Algorithm 3 Topics

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Introduction: Naive Bayes Machine Learning Algorithm

Advantages of Naive Bayes Machine Learning Algorithm

Implementation of Naive Bayes Machine Learning Algorithm Using Python

Module 12 – Decision Tree Machine Learning Algorithm 3 Topics

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Introduction: Decision Tree Machine Learning Algorithm

Advantages of Decision Tree Machine Learning Algorithm

Implementation of Decision Tree Machine Learning Algorithm Using Python

Module 13 – Machine Learning Algorithms 1 Topic | 3 Assessments

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Implementation of All Machine Learning Algorithms

Practice Test-1

Practice Test-2

Practice Test-3

Module 14 – MS Excel For Data Analytics Part-1 2 Topics

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Making Pivot in Excel

Applying Formulas Like VLOOKUP, Count if & Sum if etc.. in Excel

Module 15 – MS Excel For Data Analytics Part-2 2 Topics | 2 Assessments

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Concatenating & Match functions in MS -Excel

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Project -1

Project -2 and 3

Project -4

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Course Includes

17 Lessons
41 Topics
5 Assessments
Course Certificate

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