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- Machine Learning Roadmap
- ↳ Learning Methods
- ↳ Supervised Learning Methods
- ↳ Naive Bayes
- ↳ Linear Regression
- ↳ Support Vector Machines
- ↳ Support Vector Regression
- ↳ Polynomial Regression
- ↳ Logistic Regression
- ↳ k-Nearest Neighbors
- ↳ Decision Trees
- ↳ Random Forests
- ↳ Ensemble Methods
- ↳ Neural Networks
- ↳ Feedforward Neural Networks
- ↳ Convolutional Neural Networks (CNNs)
- ↳ CNN Architecture
- ↳ LeNet-5
- ↳ AlexNet
- ↳ GoogLeNet
- ↳ ResNet
- ↳ Recurrent Neural Networks (RNNs)
- ↳ Autoencoders
- ↳ Single-Stacked Autoencoders
- ↳ Stacked Autoencoders
- ↳ Sparse Autoencoders
- ↳ Variational Autoencoders
- ↳ Contractive Autoencoder (CAE)
- ↳ Stacked Convolutional Autoencoders
- ↳ Generative Stochastic Network (GSN)
- ↳ Winner-Take-All (WTA) Autoencoders
- ↳ Adversarial Autoencoders
- ↳ Long-Short Term Memory (LSTM) Cells
- ↳ Restricted Boltzmann Machines (RBMs)
- ↳ (Unsupervised) Generative Adversarial Networks (GANs)
- ↳ Unsupervised Learning Methods
- ↳ Association Rule Learning
- ↳ Apriori
- ↳ Eclat
- ↳ Clustering
- ↳ k-Means Clustering
- ↳ Hierarchical Cluster Analysis
- ↳ Expectation Maximization
- ↳ Visualization and Dimensionality Reduction
- ↳ Principal Component Analysis (PCA)
- ↳ Kernel PCA
- ↳ Locally-Linear Embedding (LLE)
- ↳ t-SNE
- ↳ Generative Adversarial Networks (GANs)
- ↳ Other Learning Methods
- ↳ Reinforcement Learning
- ↳ Policy Search
- ↳ AI Gyms
- ↳ Policy Gradients
- ↳ Markov Decisions
- ↳ Temporal Difference
- ↳ Q-Learning
- ↳ Semi-Supervised Learning
- ↳ Self-Supervised Learning
- ↳ Process
- ↳ Data Collection
- ↳ Data Preparation
- ↳ Exploratory Data Analysis (EDA)
- ↳ Data Pre-Processing
- ↳ Feature Encoding
- ↳ Feature Normalization
- ↳ Feature Engineering
- ↳ Feature Selection
- ↳ Feature Imputation
- ↳ Dealing with Imbalances
- ↳ Data Splitting
- ↳ Training Model
- ↳ Choosing an Algorithm
- ↳ Supervised Algorithms
- ↳ Unsupervised Algorithms
- ↳ Types of Learning
- ↳ Batch Learning
- ↳ Online Learning
- ↳ Transfer Learning
- ↳ Active Learning
- ↳ Ensembling
- ↳ Underfitting
- ↳ Overfitting
- ↳ Regularization
- ↳ Hyperparameter Tuning
- ↳ Analysis/Evaluation
- ↳ Evaluation Metrics
- ↳ Feature Importance
- ↳ Training/Inference Time/Cost
- ↳ What-if Tool
- ↳ Least Confident Examples
- ↳ Bias/Variance Trade-off
- ↳ Serving Model
- ↳ Available Tools
- ↳ Making Predictions
- ↳ Retraining Model
- ↳ Applications
- ↳ Natural Language Processing (NLP)
- ↳ Word Embedding
- ↳ Word2Vec
- ↳ GloVe
- ↳ ELMo
- ↳ BERT
- ↳ Image Recognition
- ↳ Sentiment Analysis
- ↳ Speech Recognition
- ↳ Deep Learning
- ↳ Tutorials
- Programming
- ↳ Python
- ↳ Tutorials
- ↳ Best Practices
- ↳ Python Roadmap
- ↳ 1. Computers and Programs
- ↳ 2. Variables and Assignments
- ↳ 3. String Basics
- ↳ 4. Loops
- ↳ 5. If-else Branches
- ↳ 6. Lists
- ↳ 7. User Defined Functions
- ↳ 8. Classes
- ↳ 9. Modules
- ↳ Skills
- ↳ Variables
- ↳ Conditions
- ↳ Chained Conditionals
- ↳ Operators
- ↳ Control Flow (If/else)
- ↳ Loops and Iterables
- ↳ Basic Data Structure
- ↳ Functions
- ↳ Mutability
- ↳ Common Methods
- ↳ File IO
- ↳ Object Oriented Programming (OOP)
- ↳ Data Structures
- ↳ Comprehensions
- ↳ Lambda Functions
- ↳ Collections Module
- ↳ Map & Filter
- ↳ ARGs & KWARGS
- ↳ Inheritance
- ↳ Advanced Class Behavior
- ↳ Dunder Methods
- ↳ PIP
- ↳ Environments
- ↳ Custom Modules
- ↳ Async IO
- ↳ Decorators
- ↳ Generators
- ↳ Context Managers
- ↳ Metaclasses
- ↳ Concurrency
- ↳ Parallelism
- ↳ Testing
- ↳ Topics
- ↳ Data Types
- ↳ Assignment Operators
- ↳ Commenting
- ↳ Lists
- ↳ Sets
- ↳ Dictionaries
- ↳ Logical Operators
- ↳ Loops
- ↳ Functions
- ↳ Classes & Objects
- ↳ Methods
- ↳ Working with Dates
- ↳ Working with Files
- ↳ PIP & Modules
- ↳ Iterators & Generators
- ↳ Typecasting
- ↳ Tuples
- ↳ Exception Handling
- ↳ Encapsulation
- ↳ Data Abstraction
- ↳ Polymorphism
- ↳ Environment Variables
- ↳ Inheritance
- ↳ Libraries
- ↳ Numpy
- ↳ Pandas
- ↳ Matplotlib
- ↳ Scikit-Learn
- ↳ TensorFlow/Keras
- ↳ PyTorch
- ↳ Kivy
- ↳ QT
- ↳ TKinter
- ↳ CherryPy
- ↳ TurboGears
- ↳ Web2Py
- ↳ Caffe
- ↳ DASK
- ↳ Django
- ↳ Flask
- ↳ SciPy
- ↳ Seaborn
- ↳ PySpark
- ↳ R
- ↳ SQL
- ↳ Ruby on Rails
- ↳ Ruby
- ↳ Vue
- ↳ Node
- ↳ Java
- ↳ React.js
- ↳ JavaScript
- ↳ Web Development
- ↳ HTML
- ↳ CSS
- Mathematics
- ↳ Calculus
- ↳ Differential Calculus
- ↳ Integral Calculus
- ↳ Linear Algebra
- ↳ Matrices
- ↳ Vectors
- ↳ Probability & Statistics
- ↳ Probability Distributions
- ↳ Linear Models
- ↳ Bayesian Statistics
- ↳ Multivariate Statistics
- ↳ Time Series
- ↳ Sampling
- ↳ Hypothesis Testing
- ↳ Algorithms
- ↳ Data Structures
- ↳ Search Methods
- ↳ Sorting
- ↳ Lists, Stacks, Queues
- ↳ Lists
- ↳ Stacks
- ↳ Queues
- ↳ Hash Tables, Heaps, Treaps
- ↳ Hash Tables
- ↳ Heaps
- ↳ Treaps
- ↳ Trees
- ↳ Binary Trees
- ↳ AVL Trees
- ↳ Red-Black Trees
- ↳ Graphs
- ↳ Sets and Additional Sorts
- ↳ B-trees