Machine Learning Guideline
All articles related to machine learning
2 min readJun 5, 2021
This article aims to prepare a machine learning database in order to show all machine learning titles in one view. This article will be updated when a new article related to machine learning title is published. This guideline can be called a table of content.
Deep Learning
- How to Make Artistic Images with Neural Style Transfer, click here
- How to Select Loss Function and Activation Function for Classification Problems,click here
- Semantic Segmentation of Aerial Imagery captured by a Drone using Different U-Net Approaches, click here
Time Series Analysis
Unsupervised Learning
- Comprehensive guide for Principal Component Analysis, click here
- Clustering types with various applications, click here
- Multidimensional Scaling (MDS) for Dimensionality Reduction and Data Visualization, click here
- Preserving Geodesic Distance for Non-Linear Datasets: ISOMAP, click here
Data Preprocessing, Feature Engineering, Model Selection
- An Overview of Data Preprocessing: Features Enrichment, Automatic Feature Selection, click here
- An Overview of Data Preprocessing: Converting Variables — Column Transformers, OneHotEncoding, Label Binarizer, Standardization, Normalization, Robust Scaling, and more, click here
- Increasing Model Reliability: Model Selection — Cross-Validation — click here
- Evaluating All Possible Combinations of Hyperparameters -Grid Search- click here
- Easy Way to Create an Algorithm Chains -Pipelines with Grid Search, ColumnTransformer, Feature Selection
Ensemble Methods
- Wisdom of the Crowd -Voting Classifier, Bagging-Pasting, Random Forest and Extra Trees-
- An Overview of Boosting Methods: CatBoost, XGBoost, AdaBoost, LightBoost, Histogram-Based Gradient Boost
Supervised Learning
- Terms and introduction(Classification, Regression, Generalization, Overfitting, Underfitting), click here
- K-Nearest Neighbors Algorithm(KNN), click here
- Naive Bayes Algorithm(NB), click here
- Decision Trees, click here
- Support Vector Machines, click here
- Linear Regression, Gradient Descent, Model Regularization, click here
- Linear Models for Classification, Logistic Regression, with&without sklearn library, click here
Math / Statistics
- Predicting Football Match Result using Poisson Distribution
- What is the meaning of e?
- What is the meaning of P-Value and Why is it 0.05?
- What is the Birthday Paradox?
- Strike a Balance Between Prime Numbers
- Exploring Math of Music like Pythagoras
- Must-have Chrome Extensions to save time and increase productivity
- Building New Roads Causes Traffic Jam: Braess’s Paradox
