Simple collation of conventional algorithms, packages, and tools which may be encountered in practical problems, based on Python 3.x
- Normal Algorithm
- Base
- Sort
- Search
- Graph Theory
- Base
- DataAnalysis
- Numpy
- Scipy
- Matplotlib
- Machine Learning
- Supervised Learning
- Percetron Learning Algorithm (PLA)
- Linear Regression
- Logistic Regression
- Bias Variance
- Back Propagation Neural Network (BPNN)
- Support Vector Machine (SVM)
- k-NearestNeighbor (kNN)
- Naive Bayes Classifiers
- Decision Trees
- Ensemble Learning
- UnSupervised Learning
- k-Means Clustering (k-Means)
- Principal Component Analysis (PCA)
- Expectation Maximizition (EM)
- Mglearn
- Mglearn for Supervised Learning
- Mglearn for Unsupervised Learning
- Supervised Learning
- Deep Learning
- Aliyun API
- OCR
- Business Card
- Bank Card
- Face Recognition
- Detect
- Attribute
- Verify
- OCR
- On-Premise AI
- Face Recognition
- Face Locations
- Face Landmarks
- Recognize and Identify
- OpenVINO
- Image Classfication
- Object Detection
- Face Recognition
- Face Recognition