Python Data Structures and Algorithms

(I'm sorry, my self-study plan is under development..)

Part 1

1. Data Structures
   • List, Tuple, Set, Dictionary, DataFrame
   • filter(lambda()), map(lambda()), reduce(), range()
   • Matrix, Vector, Stack, Queue, Tree
2. Sorting Algorithms
   • Bubble sort
   • Insertion sort
   • Merge sort
   • Shell sort
   • Selection sort
3. Searching Algorithms
   • Linear search
   • Binary search
   • Interpolation search
4. Graph
   • Graph travel
   • BFS (breadth-first search)
   • DFS (depth-first search)
   • Cycle detection, Minimum Spanning Tree, Topological sorting and etc.

Part 2

(it's plannig only)

1. Unsupervised learning algorithms

   • Clustering algorithms
   • Dimensionality reduction
   • Association rules mining
   • Anomaly detection algorithms

2. Supervised learning algorithms

   • Linear regression
   • Logistic regression
   • K-nearest neighbor algorithm
   • Decision trees
   • Naive Bayes
   • Linear discriminant analysis
   • Similarity learning

3. NN

4. NLP (RNN, natural language toolkit )