IIRF Online > Development > Data Science > Python > Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]
Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024] by Udemy
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
Course Highlights
- Master Machine Learning on Python & R
- Have a great intuition of many Machine Learning models
- Make accurate predictions
- Make powerful analysis
- Make robust Machine Learning models
- Create strong added value to your business
- Use Machine Learning for personal purpose
- Handle specific topics like Reinforcement Learning, NLP and Deep Learning
- Handle advanced techniques like Dimensionality Reduction
- Know which Machine Learning model to choose for each type of problem
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Skills you will learn!
Curriculum
6 Topics
Welcome Challenge!
Machine Learning Demo - Get Excited!
Get all the Datasets Codes and Slides here
How to use the ML A-Z folder & Google Colab
Installing R and R Studio (Mac Linux & Windows)
EXTRA: Use ChatGPT to Boost your ML Skills
4 Topics
Welcome to Part 1 - Data Preprocessing
The Machine Learning process
Splitting the data into a Training and Test set
Feature Scaling
24 Topics
Getting Started - Step 1
Getting Started - Step 2
Importing the Libraries
Importing the Dataset - Step 1
Importing the Dataset - Step 2
Importing the Dataset - Step 3
For Python learners summary of Object-oriented programming: classes & objects
Coding Exercise 1: Importing and Preprocessing a Dataset for Machine Learning
Taking care of Missing Data - Step 1
Taking care of Missing Data - Step 2
Coding Exercise 2: Handling Missing Data in a Dataset for Machine Learning
Encoding Categorical Data - Step 1
Encoding Categorical Data - Step 2
Encoding Categorical Data - Step 3
Coding Exercise 3: Encoding Categorical Data for Machine Learning
Splitting the dataset into the Training set and Test set - Step 1
Splitting the dataset into the Training set and Test set - Step 2
Splitting the dataset into the Training set and Test set - Step 3
Coding Exercise 4: Dataset Splitting and Feature Scaling
Feature Scaling - Step 1
Feature Scaling - Step 2
Feature Scaling - Step 3
Feature Scaling - Step 4
Coding exercise 5: Feature scaling for Machine Learning
11 Topics
Getting Started
Dataset Description
Importing the Dataset
Taking care of Missing Data
Encoding Categorical Data
Splitting the dataset into the Training set and Test set - Step 1
Splitting the dataset into the Training set and Test set - Step 2
Feature Scaling - Step 1
Feature Scaling - Step 2
Data Preprocessing Template
Data Preprocessing Quiz
1 Topic
Welcome to Part 2 - Regression
17 Topics
Simple Linear Regression Intuition
Ordinary Least Squares
Simple Linear Regression in Python - Step 1a
Simple Linear Regression in Python - Step 1b
Simple Linear Regression in Python - Step 2a
Simple Linear Regression in Python - Step 2b
Simple Linear Regression in Python - Step 3
Simple Linear Regression in Python - Step 4a
Simple Linear Regression in Python - Step 4b
Simple Linear Regression in Python - Additional Lecture
Simple Linear Regression in R - Step 1
Simple Linear Regression in R - Step 2
Simple Linear Regression in R - Step 3
Simple Linear Regression in R - Step 4a
Simple Linear Regression in R - Step 4b
Simple Linear Regression in R - Step 4c
Simple Linear Regression Quiz
26 Topics
Dataset + Business Problem Description
Multiple Linear Regression Intuition
Assumptions of Linear Regression
Multiple Linear Regression Intuition - Step 3
Multiple Linear Regression Intuition - Step 4
Understanding the P-Value
Multiple Linear Regression Intuition - Step 5
Multiple Linear Regression in Python - Step 1a
Multiple Linear Regression in Python - Step 1b
Multiple Linear Regression in Python - Step 2a
Multiple Linear Regression in Python - Step 2b
Multiple Linear Regression in Python - Step 3a
Multiple Linear Regression in Python - Step 3b
Multiple Linear Regression in Python - Step 4a
Multiple Linear Regression in Python - Step 4b
Multiple Linear Regression in Python - Backward Elimination
Multiple Linear Regression in Python - EXTRA CONTENT
Multiple Linear Regression in R - Step 1a
Multiple Linear Regression in R - Step 1b
Multiple Linear Regression in R - Step 2a
Multiple Linear Regression in R - Step 2b
Multiple Linear Regression in R - Step 3
Multiple Linear Regression in R - Backward Elimination - HOMEWORK !
Multiple Linear Regression in R - Backward Elimination - Homework Solution
Multiple Linear Regression in R - Automatic Backward Elimination
Multiple Linear Regression Quiz
21 Topics
Polynomial Regression Intuition
Polynomial Regression in Python - Step 1a
Polynomial Regression in Python - Step 1b
Polynomial Regression in Python - Step 2a
Polynomial Regression in Python - Step 2b
Polynomial Regression in Python - Step 3a
Polynomial Regression in Python - Step 3b
Polynomial Regression in Python - Step 4a
Polynomial Regression in Python - Step 4b
Polynomial Regression in R - Step 1a
Polynomial Regression in R - Step 1b
Polynomial Regression in R - Step 2a
Polynomial Regression in R - Step 2b
Polynomial Regression in R - Step 3a
Polynomial Regression in R - Step 3b
Polynomial Regression in R - Step 3c
Polynomial Regression in R - Step 4a
Polynomial Regression in R - Step 4b
R Regression Template - Step 1
R Regression Template - Step 2
Polynomial Regression Quiz
14 Topics
SVR Intuition (Updated!)
Heads-up on non-linear SVR
SVR in Python - Step 1a
SVR in Python - Step 1b
SVR in Python - Step 2a
SVR in Python - Step 2b
SVR in Python - Step 2c
SVR in Python - Step 3
SVR in Python - Step 4
SVR in Python - Step 5a
SVR in Python - Step 5b
SVR in R - Step 1
SVR in R - Step 2
SVR Quiz
11 Topics
Decision Tree Regression Intuition
Decision Tree Regression in Python - Step 1a
Decision Tree Regression in Python - Step 1b
Decision Tree Regression in Python - Step 2
Decision Tree Regression in Python - Step 3
Decision Tree Regression in Python - Step 4
Decision Tree Regression in R - Step 1
Decision Tree Regression in R - Step 2
Decision Tree Regression in R - Step 3
Decision Tree Regression in R - Step 4
Decision Tree Regression Quiz
7 Topics
Random Forest Regression Intuition
Random Forest Regression in Python - Step 1
Random Forest Regression in Python - Step 2
Random Forest Regression in R - Step 1
Random Forest Regression in R - Step 2
Random Forest Regression in R - Step 3
Random Forest Regression Quiz
3 Topics
R-Squared Intuition
Adjusted R-Squared Intuition
Evaluating Regression Models Performance Quiz
8 Topics
Make sure you have this Model Selection folder ready
Preparation of the Regression Code Templates - Step 1
Preparation of the Regression Code Templates - Step 2
Preparation of the Regression Code Templates - Step 3
Preparation of the Regression Code Templates - Step 4
THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1
THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2
Conclusion of Part 2 - Regression
3 Topics
Evaluating Regression Models Performance - Homework's Final Part
Interpreting Linear Regression Coefficients
Conclusion of Part 2 - Regression
2 Topics
Welcome to Part 3 - Classification
What is Classification?
30 Topics
Logistic Regression Intuition
Maximum Likelihood
Logistic Regression in Python - Step 1a
Logistic Regression in Python - Step 1b
Logistic Regression in Python - Step 2a
Logistic Regression in Python - Step 2b
Logistic Regression in Python - Step 3a
Logistic Regression in Python - Step 3b
Logistic Regression in Python - Step 4a
Logistic Regression in Python - Step 4b
Logistic Regression in Python - Step 5
Logistic Regression in Python - Step 6a
Logistic Regression in Python - Step 6b
Logistic Regression in Python - Step 7a
Logistic Regression in Python - Step 7b
Logistic Regression in Python - Step 7c
Logistic Regression in Python - Step 7 (Colour-blind friendly image)
Logistic Regression in R - Step 1
Logistic Regression in R - Step 2
Logistic Regression in R - Step 3
Logistic Regression in R - Step 4
Warning - Update
Logistic Regression in R - Step 5a
Logistic Regression in R - Step 5b
Logistic Regression in R - Step 5c
Logistic Regression in R - Step 5 (Colour-blind friendly image)
R Classification Template
Machine Learning Regression and Classification EXTRA
Logistic Regression Quiz
EXTRA CONTENT: Logistic Regression Practical Case Study
8 Topics
K-Nearest Neighbor Intuition
K-NN in Python - Step 1
K-NN in Python - Step 2
K-NN in Python - Step 3
K-NN in R - Step 1
K-NN in R - Step 2
K-NN in R - Step 3
K-Nearest Neighbor Quiz
7 Topics
SVM Intuition
SVM in Python - Step 1
SVM in Python - Step 2
SVM in Python - Step 3
SVM in R - Step 1
SVM in R - Step 2
SVM Quiz
11 Topics
Kernel SVM Intuition
Mapping to a higher dimension
The Kernel Trick
Types of Kernel Functions
Non-Linear Kernel SVR (Advanced)
Kernel SVM in Python - Step 1
Kernel SVM in Python - Step 2
Kernel SVM in R - Step 1
Kernel SVM in R - Step 2
Kernel SVM in R - Step 3
Kernel SVM Quiz
11 Topics
Bayes Theorem
Naive Bayes Intuition
Naive Bayes Intuition (Challenge Reveal)
Naive Bayes Intuition (Extras)
Naive Bayes in Python - Step 1
Naive Bayes in Python - Step 2
Naive Bayes in Python - Step 3
Naive Bayes in R - Step 1
Naive Bayes in R - Step 2
Naive Bayes in R - Step 3
Naive Bayes Quiz
7 Topics
Decision Tree Classification Intuition
Decision Tree Classification in Python - Step 1
Decision Tree Classification in Python - Step 2
Decision Tree Classification in R - Step 1
Decision Tree Classification in R - Step 2
Decision Tree Classification in R - Step 3
Decision Tree Classification Quiz
7 Topics
Random Forest Classification Intuition
Random Forest Classification in Python - Step 1
Random Forest Classification in Python - Step 2
Random Forest Classification in R - Step 1
Random Forest Classification in R - Step 2
Random Forest Classification in R - Step 3
Random Forest Classification Quiz
6 Topics
Make sure you have this Model Selection folder ready
Confusion Matrix & Accuracy Ratios
ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1
ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2
ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3
ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4
6 Topics
False Positives & False Negatives
Accuracy Paradox
CAP Curve
CAP Curve Analysis
Conclusion of Part 3 - Classification
Evaluating Classiification Model Performance Quiz
1 Topic
Welcome to Part 4 - Clustering
18 Topics
What is Clustering? (Supervised vs Unsupervised Learning)
K-Means Clustering Intuition
The Elbow Method
K-Means++
K-Means Clustering in Python - Step 1a
K-Means Clustering in Python - Step 1b
K-Means Clustering in Python - Step 2a
K-Means Clustering in Python - Step 2b
K-Means Clustering in Python - Step 3a
K-Means Clustering in Python - Step 3b
K-Means Clustering in Python - Step 3c
K-Means Clustering in Python - Step 4
K-Means Clustering in Python - Step 5a
K-Means Clustering in Python - Step 5b
K-Means Clustering in Python - Step 5c
K-Means Clustering in R - Step 1
K-Means Clustering in R - Step 2
K-Means Clustering Quiz
16 Topics
Hierarchical Clustering Intuition
Hierarchical Clustering How Dendrograms Work
Hierarchical Clustering Using Dendrograms
Hierarchical Clustering in Python - Step 1
Hierarchical Clustering in Python - Step 2a
Hierarchical Clustering in Python - Step 2b
Hierarchical Clustering in Python - Step 2c
Hierarchical Clustering in Python - Step 3a
Hierarchical Clustering in Python - Step 3b
Hierarchical Clustering in R - Step 1
Hierarchical Clustering in R - Step 2
Hierarchical Clustering in R - Step 3
Hierarchical Clustering in R - Step 4
Hierarchical Clustering in R - Step 5
Hierarchical Clustering Quiz
Conclusion of Part 4 - Clustering
1 Topic
Welcome to Part 5 - Association Rule Learning
9 Topics
Apriori Intuition
Apriori in Python - Step 1
Apriori in Python - Step 2
Apriori in Python - Step 3
Apriori in Python - Step 4
Apriori in R - Step 1
Apriori in R - Step 2
Apriori in R - Step 3
Apriori Quiz
4 Topics
Eclat Intuition
Eclat in Python
Eclat in R
Eclat Quiz
1 Topic
Welcome to Part 6 - Reinforcement Learning
14 Topics
The Multi-Armed Bandit Problem
Upper Confidence Bound (UCB) Intuition
Upper Confidence Bound in Python - Step 1
Upper Confidence Bound in Python - Step 2
Upper Confidence Bound in Python - Step 3
Upper Confidence Bound in Python - Step 4
Upper Confidence Bound in Python - Step 5
Upper Confidence Bound in Python - Step 6
Upper Confidence Bound in Python - Step 7
Upper Confidence Bound in R - Step 1
Upper Confidence Bound in R - Step 2
Upper Confidence Bound in R - Step 3
Upper Confidence Bound in R - Step 4
Upper Confidence Bound Quiz
10 Topics
Thompson Sampling Intuition
Algorithm Comparison: UCB vs Thompson Sampling
Thompson Sampling in Python - Step 1
Thompson Sampling in Python - Step 2
Thompson Sampling in Python - Step 3
Thompson Sampling in Python - Step 4
Additional Resource for this Section
Thompson Sampling in R - Step 1
Thompson Sampling in R - Step 2
Thompson Sampling Quiz
26 Topics
Welcome to Part 7 - Natural Language Processing
NLP Intuition
Types of Natural Language Processing
Classical vs Deep Learning Models
Bag-Of-Words Model
Natural Language Processing in Python - Step 1
Natural Language Processing in Python - Step 2
Natural Language Processing in Python - Step 3
Natural Language Processing in Python - Step 4
Natural Language Processing in Python - Step 5
Natural Language Processing in Python - Step 6
Natural Language Processing in Python - EXTRA
Homework Challenge
Natural Language Processing in R - Step 1
Warning - Update
Natural Language Processing in R - Step 2
Natural Language Processing in R - Step 3
Natural Language Processing in R - Step 4
Natural Language Processing in R - Step 5
Natural Language Processing in R - Step 6
Natural Language Processing in R - Step 7
Natural Language Processing in R - Step 8
Natural Language Processing in R - Step 9
Natural Language Processing in R - Step 10
Homework Challenge
Natural Language Processing Quiz
3 Topics
Welcome to Part 8 - Deep Learning
What is Deep Learning?
Deep Learning Quiz
21 Topics
Plan of attack
The Neuron
The Activation Function
How do Neural Networks work?
How do Neural Networks learn?
Gradient Descent
Stochastic Gradient Descent
Backpropagation
Business Problem Description
ANN in Python - Step 1
ANN in Python - Step 2
ANN in Python - Step 3
ANN in Python - Step 4
ANN in Python - Step 5
ANN in R - Step 1
ANN in R - Step 2
ANN in R - Step 3
ANN in R - Step 4 (Last step)
Deep Learning Additional Content
EXTRA CONTENT: ANN Case Study
ANN QUIZ
17 Topics
Plan of attack
What are convolutional neural networks?
Step 1 - Convolution Operation
Step 1(b) - ReLU Layer
Step 2 - Pooling
Step 3 - Flattening
Step 4 - Full Connection
Summary
Softmax & Cross-Entropy
CNN in Python - Step 1
CNN in Python - Step 2
CNN in Python - Step 3
CNN in Python - Step 4
CNN in Python - Step 5
CNN in Python - FINAL DEMO!
Deep Learning Additional Content #2
CNN Quiz
1 Topic
Welcome to Part 9 - Dimensionality Reduction
7 Topics
Principal Component Analysis (PCA) Intuition
PCA in Python - Step 1
PCA in Python - Step 2
PCA in R - Step 1
PCA in R - Step 2
PCA in R - Step 3
PCA Quiz
4 Topics
Linear Discriminant Analysis (LDA) Intuition
LDA in Python
LDA in R
LDA Quiz
2 Topics
Kernel PCA in Python
Kernel PCA in R
1 Topic
Welcome to Part 10 - Model Selection & Boosting
4 Topics
k-Fold Cross Validation in Python
Grid Search in Python
k-Fold Cross Validation in R
Grid Search in R
3 Topics
XGBoost in Python
Model Selection and Boosting Additional Content
XGBoost in R
1 Topic
Logistic Regression Intuition
2 Topics
Huge Congrats for completing the challenge!
BONUS: Cloud Skills for ML & AI (COUPON inside)
Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]
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