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Lecture 8 of 50

What is Machine Learning

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Section 1: Introduction to Course1 videos

Introduction to Course

47m
Section 2: Day 1 Python for AI Basics7 videos

Introduction to Day 1 Python for AI Basics

2m

Introduction to NumPy

5m

Working with Lists and Dictionaries

4m

Python Basics

11m

Introduction to Pandas

15m

Handson Project Basic Data Manipulation and File Handling

19m

Introduction to Python Programming

24m
Section 3: Day 2 Exploratory Data Analysis EDA7 videos

Descriptive Statistics

2m

Introduction to Day 2 Exploratory Data Analysis EDA

2m

Data Transformation and Feature Engineering

4m

Handling Missing Data

7m

Loading and Inspecting Data

8m

Handson Project Exploratory Data Analysis on a Real Dataset

16m

Visualizing Data with Matplotlib and Seaborn

18m
Section 4: Day 3 Introduction to Machine Learning ML7 videos

Building a Linear Regression Model

4m

What is Machine Learning

2mNow Playing

Introduction to Day 3 Introduction to Machine Learning ML

1m

Supervised Learning and Dataset Preparation

9m

Evaluating the Model

4m

Handson Project Predicting House Prices using Linear Regression

48m

Feature Scaling and Regularization

6m
Section 5: Day 4 Classification Models in Machine Learning7 videos

What is Classification

1m

Logistic Regression for Classification

2m

Building a Logistic Regression Classifier

6m

Visualizing the Decision Boundary

14m

Evaluating the Classification Model

18m

Handson Project Spam Detection Using Logistic Regression

42m

Introduction to Day 4 Classification Models in Machine Learning

2m
Section 6: Day 5 Introduction to Neural Networks and Deep Learning8 videos

Introduction to Deep Learning Frameworks

1m

What is a Neural Network

1m

Introduction to Day 5 Introduction to Neural Networks and Deep Learning

2m

Building a Simple Neural Network for MNIST Classification

10m

MNIST Dataset Overview

15m

Understanding Activation Functions

3m

Evaluating the Neural Network

4m

Handson Project Handwritten Digit Classification using Neural Networks

17m
Section 7: Day 6 Building a Sentiment Analysis Model Using Natural Language Processing8 videos

Introduction to Day 6 Building a Sentiment Analysis Model Using NLP

2m

Sentiment Analysis Understanding Text Classification

1m

Introduction to Natural Language Processing NLP

1m

Using Pretrained Models for NLP Hugging Face

7m

Text Preprocessing

14m

Evaluating the Model

8m

Building a Sentiment Analysis Model with TensorFlow

13m

Handson Project Sentiment Analysis Using Pretrained NLP Models

31m
Section 8: Day 7 Deploying an AI Model as a Web Service5 videos

Introduction to Day 7 Deploying an AI Model as a Web Service

2m

Introduction to Flask for Web Development

7m

Testing the Web Service

3m

Deploying the Flask App to Heroku

17m

Creating a Web Interface for Your Model

1h 1m