Machine Learning Guideline

All articles related to machine learning

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.

Photo by Clayton Robbins on Unsplash

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

• Forecasting the Future Power Consumption of Germany using LSTM(RNN) and DNN, click here

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