Introduction to Machine Learning (Micro Course) – AI Quintessential

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Module 1: Introduction to AIML

Lesson 1: Introduction to AI-ML 3 Topics

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AI (Artificial Intelligence) VS HI (Human Intelligence)

Lesson 2: Python for Machine Learning 5 Topics

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Python for Machine Learning

Numpy Library Practice

Pandas Library Practice

Scipy Library Practice

Matplotlib Library Practice

Lesson 3: Exploratory Data Analysis EDA 10 Topics

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Data Science and AIML

EDA Fundamentals

The Significance of EDA

Data Visualisation

Descriptive Analysis

EDA Implementation

Lesson 1: Supervised Learning 3 Topics

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Classification Algorithm

Gender Classifier – Python Project

Fraud Detection – Python Project

Module 2: Machine Learning

Lesson 2: Ensemble Techniques 1 Topic

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Ensemble Methods

Lesson 3: Unsupervised Learning 2 Topics

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Clustering Algorithms

Universities Clustering – Python Project

Lesson 4: Decision Trees 1 Topic

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The Principal of Decision Trees

Lesson 5: Model Tuning 1 Topic

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Tuning Machine Learning Models

Lesson 1: Neural Networks 1 Topic

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Introduction to Neural Networks

Module 3: Deep Learning

Lesson 2: Computer Vision 1 Topic

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Face Detection – Python Project

Lesson 3: Natural Language Processing 2 Topics

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Project Code – Chatbots

Speech Recognition – Python Project

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