Become a Citizen Data Scientist with HyperSense-AI Studio

HyperSense AI - Studio - the first step towards becoming a citizen data scientist

4.63 (23 reviews)
Become a Citizen Data Scientist with HyperSense-AI Studio
1 hour
Mar 2022
last update
regular price

What you will learn

Get introduced to the concepts of AI, ML & Model Building

Understand the steps required to build your first model

Look at how Subex HyperSense's AI Studio works

AI Studio configuration demo using use cases


Rapid digitization is changing the data landscape across industries. It has led to a massive explosion of data volumes. To derive meaningful insights from data, many enterprises have accelerated AI adoption across their businesses. Data Science is applicable across all business verticals and the use cases are only increasing.

Subex’s HyperSense AI Studio is a no-code data science environment with AI automation capabilities to build and manage AI models.

HyperSense AI Studio enables any user to build and operationalize AI successfully using automated machine learning. While the no code capability helps citizen data scientists to build their models easily, it also increases the efficiency of data scientists allowing them to focus on higher-value tasks. It automates every step of the data science lifecycle including, feature engineering, algorithm selection, and hyper-parameter tuning.

This course is designed to help learners understand the basic concepts of data science elements. It also covers various points such as exploratory data analysis, which help in understanding the data better and helps asking the right questions before building a model. Then, the course will brief you on the data science workflow, covering all the important steps involved in this workflow. Starting from Data Preparation to Model evaluation.

Finally, there are use cases shared via walk-throughs, which shows how AI Studio can be used to manage data, build models and deploy models in minutes.




Module 1 - Introduction to Data Science and Elements in Data Science

Introduction to AI/ML
Exploratory Data Analysis (EDA)
Predictive Machine Overview

Module 2 - Building your first ML Model on HyperSense AI Studio

Data Science workflow
Data Preparation
EDA & Feature Synthesis
Feature Selection
Model Training
Model Evaluation

Introduction to HyperSense AI Studio

HyperSense - AI Studio Overview
Demo - Demand Forecasting using regression
Demo - Network Intrusion Detection Model

Thank you

Thank You



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