✔️ = Done 🏃 = In Development ​ 📆 = Put On the Agenda 🤔 = Not Sure

• Data Structures
  • DataSet (3-D data structure) ✔️
  • Frame (2-D general data structure)​ ✔️
  • SeriesSet (2-D general data structure) ✔️
  • Matrix (2-D mathematical data structure) ✔️
  • Row (1-D general data structure) ✔️
  • Series (1-D general data structure) ✔️
  • TimeSeries (1-D time sequence data structure)​ 🏃
• Statistics
  • Basic Statistics (mean, std, skewness, kurtosis, frequency, fuantils)​ ✔️
  • Correlation (spearman & pearson) ✔️
  • Analysis of variance ✔️
  • Compare Means (simple T-test, independent T-test) ✔️
• Operations
  • Beautiful CRUD APIs (create, Retrieve, Update, Delete) ✔️
  • Flexible I/O Tool(supporting multiple source data for input and output) ✔️
  • Dummy Variables (auto parse norminal variable into dummy variable) ✔️
  • Difference Sequence Data ✔️
  • Normalize Data (log, normal, standard, box-cox):heavy_check_mark:
  • Drop Duplicate Records ✔️
  • Group By (analysis the dataset under controlling a group variable):heavy_check_mark:
• Methods
  • LDA (Linear Discriminant Analysis) ✔️
  • LR (Linear Regression) ✔️
  • ANOVA (Analysis of Variance) ✔️
  • MLP (Multi-Layers Perceptron) ✔️
  • DT (Decision Tree):heavy_check_mark:
  • K-Means 🏃
  • PCA (Principal Component Analysis) 🏃
  • ARIMA (Autoregressive Integrated Moving Average) 📆
  • SVM ( Support Vector Machine) 🤔
  • Bayes Classifier 🤔
• Others
  • Manual 🏃
  • Example Notebook 🏃
  • Unit Test 🏃