Semi Auto ML APP

Common Datasets For ML Explorer App Built with Streamlit. It mainly contains activities like -

1. Exploratory data Analysis activity which does:

   • Show Shape
   • Show Column
   • Show Particular Column
   • Show Summary
   • Show Value Counts
   • Correlation with Seaborn
   • Pie Chart

2. Data Visualisation i.e. making Customizable Plots with any number of columns you want that contains different type of plots like:

   • Area Graph
   • BarGraph
   • Line Graph
   • Histogram
   • Box Graph
   • Kernel Density Estimation(KDE) Graph

3. Model Building:

   • Show Features
   • Show Target
   • Metric as table or JSON shows the model accuracy and standard deviation on pre-defined ML models:
     • Logistic Regression
     • Linear Discriminant Analysis
     • K Neigbour Classifier
     • Descision Tree Classifier
     • Gaussian Naive Bayes
     • SVM