Templates
Input/Output
Read/Write Files
Workflows
-
Save As JSON Files
-
Save As Parquet Files
-
Read-CSV
-
Read Multi-line JSON
-
Read Parquet File
-
Read Excel File
-
PDF Image OCR
-
Read PDF File
-
Retail Example
Connectors
Workflows
-
Read File from URL
-
Elastic Search Save
-
Read from HIVE
-
Read JSON from URL
Data Preparation/Engineering
Data Preparation
Workflows
-
Dedup Customers
-
Titanic Data Cleaning Example
-
Data Validation Multiple
-
Data Validation for Email
-
REST - CSV Reader and Parse
-
Convert to Timestamp
-
Date Time Field Extract
-
REST Read and Parse JSON
-
Drop Rows With Null
-
Remove Special Characters
-
Remove Duplicate Rows
-
Column Filter
-
Concat Columns
-
Data Preparation - 1
-
Regex Multi-Example
-
Cast Nodes
-
Select - Drop - Rename Columns
-
Data Wrangling
-
Using Imputeand Case Statements
-
OCR
-
Profiling Housing Dataset
-
Remove Duplicate Rows
-
Select - Drop - Rename Columns
-
String Functions
Application
-
Customers Segmentation App
Data Engineering
-
Titanic Data Cleaning
-
Data Validation - Complex
-
Clickstream Data Pipeline
-
Data Validation
-
Data Validation Address
-
Data Validation Schema
-
Complex Customer ETL
-
Simple Customer ETL
-
Employee - Data Profiling
-
Housing Data Report
-
Multi Join
-
NYC Taxi Average Speed Report
-
Read & Write To Hive Table
-
Remove Duplicate Rows
-
Retail Transactions Pipeline
-
SQL Workflow
-
Scala Workflow
Machine Learning
Recommendations
Workflows
-
Movie Lens Ratings Distribution
-
Music Recommender
-
Ratings
-
Ratings Exploration
Price Elasticity
-
Predict volume and create parabola
-
Calculate profit and create model
-
Data Exploration
NLP
-
OpenNLP Name Finder
Data Science
-
Churn Prediction - RFC - H2O
-
Churn Prediction - RFC
-
ML-Wizard
-
H2O KMeans of Bike Sharing Dataset
-
Churn Data Analysis
-
KMeans Clustering - Save & Load
-
Click-thru Prediction Using GBT
-
Spark ML Pipeline Model Save
-
Car Acceleration
-
Telco Churn Prediction - Data Profile
-
Bike Sharing Analysis
-
H2O DRF
-
Anomaly Detection with Isolation Forests using H2O
-
Correlation and Summary
-
Score Spark ML Model
-
Farmers Market Prediction
-
SMS Spam Detection Using Logistic Regression Model
-
Store wise Retail Stock Prediction Using Linear Regression Model
-
Spark XGBoost - Classification
-
H2O Neural Network
-
GBTRegression
-
Feature Selection Methods
-
Churn Prediction - Decision Tree Classifier
-
Decision Tree Regression
-
K-means clustering using Housing dataset
-
Credit Card Fraud Prediction Using Logistic Regression Model
-
Parameters Passing
-
Chi-Square Test for Feature Selection
-
Churn Prediction - RFC & Logistic Regression
-
Comparative Analysis of Multiple Models
-
Covariance and Correlation
-
CrossTab
-
Dimensionality Reduction - PCA
-
Distribution
-
Feature Decomposition
-
H2O DRF
-
H2O GBM of Bike Sharing Dataset
-
H2O GLM
-
H2O GLRM of Credit card fraud Dataset
-
H20 - Isolation Forest
-
H2O KMeans of Bike Sharing Dataset
-
H2O Neural Network
-
H2O XGBoost
-
Household Power Consumption
-
K-means clustering using Housing dataset
-
House Price Prediction Using Random Forest Regression
-
Imputing Methods
-
Load CSV - JSON
-
Multi-layer Perceptron Classifier - WineQuality
CPG Solutions
Customer Segmentation
Workflows
-
Transactional-Data-EDA
-
Voice Data Customer Call Volume Clustering
-
Voice Data Customer Call Charge Clustering
-
Voice Data Customer Call Duration Clustering
-
Final Profiling
-
Customers Clustering
-
Campaign Data Feature Engineering
-
Transactional Data Enrichment
Reports
-
Customer Voice Data Clusters
-
Customer Segmentation Overview
Application
-
Customers Segmentation App
Product Recommendation
Workflows
-
Customers Invoice Data EDA
-
Cluster Wise FPG Recommendations
-
Customers Clustering and Profiling
-
Data Preparation for clustering
-
Read Parquet File
-
Invoice Data Cleaning
Churn Prediction
Workflows
-
Churn Prediction
-
Churn Classification Model Training
-
Sales Transaction Data EDA
-
Sales Transaction Data Preparation
-
Sales Transaction Data EDA 2
Reports
-
Churn Reports
Application
-
Churn Analytical App
Timeseries
Workflows
-
Monthly Passengers distribution
-
Stock Forecast Graph
-
AirPassengers Forecasting - Prophet Model
-
AirPassengers Forecasting - Prophet Model - With holidays
-
AirPassengers Forecasting - SARIMAX Model
-
AirPassengers Forecasting - Prophet Model - Multivariate
-
Generate the Forecasts - Stocks
-
Temperature Forecast
-
Earthquake Prediction - SQL - RandomForest
-
Feature Engineering Techniques For Time Series Data
-
AirPassengers Forecasting - SARIMAX Multivariate Model
-
AirPassengers Forecasting - ARIMA Model
-
GDP Forecasting - Multivariate VAR Model
-
Safety Stock Calculations for Inventory Using Prophet
Others
Data Quality
Visualization
Streaming
-
Transactional Data EDA
-
Multiple Validation Example
-
Employee Data Cleaning and Data Quality
-
Housing - Data Quality
-
Print n rows Example
-
Housing Data - Graph values
-
Subplot Graph-Example
-
Graph Group by column-Example
-
Gauge Graph Example
-
Bubble chart Example
-
Distribution Graphs
-
Boxplot Example
-
Creating Subplots
-
Churn Data Analysis
-
Creating a Boxplot
-
Graph column values by count
-
NYC Taxi Average Speed
-
Print Rich Text Example
-
Train Data - Graph values
-
Box Plot & Sub Plots
-
Data Visualization
-
Kafka Streaming - Bike Sharing
-
File Streaming - JSON Events
-
Structured Streaming - File Sink
-
Streaming test
-
Kafka Streaming - Flights Delay
-
Streaming Socket Text Stream
-
Structured Streaming - Join CSV
-
Structured Streaming - Join Hive Table
-
Structured Streaming - Basic
-
Recover Partition - HIVE StreamingSink
Reports
-
Streaming - Bike-Sharing
Healthcare Optimize
Hospital Operation
-
Classify Patient's Number of Stays In Hospital
-
Classify Severity of illness
-
Hospital Patient Data EDA
Reports
-
Health Severity Condition Report
Data Profiling and Visualizations
Data Profile Explore
Visualization
-
Data Exploration of Housing Data
-
Loan - Data Profile
-
Housing Training - Data Profile
-
Sales Example Data - Data Profile
-
Correlation between Columns
-
Detecting Outliers
-
WHO Data Cleaning
-
Loan DataProfile - II
-
Loan DataProfile - I
Reports
-
Profile
-
Housing Dataset Profiling
-
Report
-
Report Test
-
Print n rows Example
-
Housing Data - Graph values
-
Subplot Graph-Example
-
Graph Group by column-Example
-
Gauge Graph Example
-
Bubble chart Example
-
Distribution Graphs
-
Boxplot Example
-
Creating Subplots
-
Churn Data Analysis
-
Creating a Boxplot
-
Graph column values by count
-
NYC Taxi Average Speed
-
Print Rich Text Example
-
Train Data - Graph values
-
Box Plot & Sub Plots
-
Data Visualization
Retail
Sales Forecasting
Retail
-
ML Model Building
-
Sales Data Cleaning
-
Sales Data Profile
-
Sales Weekly Cumulative for all Depts
-
Stores Data Cleaning
-
Store Type Avg Weekly Sales
-
Store Type Size Bubble Chart
-
Feature Selection and Correlation
-
Data Validation And Indexing
-
Combining All Datasets
Reports
-
Profile
-
Housing Dataset Profiling
-
Report
-
Report Test
-
Complex Customer ETL
-
Dedup Customers
-
Clickstream Data Analysis
-
Retail Data Preparation
-
Retail Data Analysis
Reports
-
Clickstream Data Analysis
-
User Engagement Analysis Report
-
Apache Logs Analysis
-
Isolation Forest - Threshold
-
Auto Encoder - Deep neural network
-
Bank Marketing - Analyse categorical variable
-
Bank Marketing - ML
-
Bank Marketing - Numerical Variables Analysis
-
Data Analysis - Credit Card
-
Stocks Moving Average
Code in Workflows
PySpark
-
JDBC
-
Housing Sklearn Bayesian Ridge Regression
-
GBT Classification - diabetes or not
-
diabetes classification SKlearn logistics classifier
-
German Credit Card - Classification
-
Keras - Example
-
Sarimax - daily female birth
-
Housing SkLearn Lasso Regression
-
Housing gradient boosting regression
-
Join Workflow
-
Multi Input To Multi Output Pyspark Code
-
Neural Network with Keras
-
Pandas Workflow
-
PySpark Workflow
-
SQL Workflow
-
Sales record SkLearn Ridge Regression
-
Wine Quality Linear Regression
-
diabetes classification SKlearn GTBC
-
diabetes classification SKlearn Random Forest classifier
-
diabetes classification SKlearn GTBC
-
house price - ridge regression
-
MultiInputPyspark Code
-
Regession test pyspark node
-
Sales record SkLearn Random forest Regression
-
Sklearn Model Save - House Price
-
Sklearn Model Save - House Price
-
SplitByExpression
-
Variable Selection - ScoreCardPy
Code
-
Pipe Python with Pandas
-
Keras Anomaly Detection AutoEncoder
-
Jython
-
SQL Workflow
-
Scala Workflow
-
Pivot Example
-
RFM - Calculation
Customer 360
-
Customer Credit Data Agg Data Prep
-
Customer Churn
-
Data Reports