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Working with Relationships in NoSQL (One-to-One, One-to-Many, Many-to-Many)

Table of Contents Introduction to Relationships in NoSQL One-to-One Relationships in NoSQL One-to-Many Relationships in NoSQL Many-to-Many Relationships in NoSQL Best Practices for Modeling Relationships in NoSQL Conclusion Introduction to Relationships...
Kumar Prafull - 0

Unique Indexes, Compound Indexes, and TTL Indexes in MongoDB

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Schema Validation in MongoDB 4.0+

Table of Contents Introduction to Schema Validation Why Schema Validation is Important How Schema Validation Works in MongoDB Basic Schema Validation Syntax Modifying Schema Validation for Existing Collections Validation Levels...
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Designing for Read vs Write Performance in MongoDB

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Working with MongoDB Compass for Visual Data Handling

Introduction MongoDB Compass is a powerful, user-friendly graphical user interface (GUI) for interacting with MongoDB databases. It simplifies database management and provides a visual interface...

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Data Types in MongoDB (ObjectId, Date, Embedded Docs, Arrays)

Introduction MongoDB, being a NoSQL database, is quite flexible when it comes to storing data. Unlike traditional relational databases, MongoDB stores data in BSON (Binary...

Basic CRUD Operations in MongoDB (insertOne, find, updateOne, deleteOne)

Introduction In this module, we will explore the basic CRUD operations in MongoDB, which are essential for interacting with data stored in a MongoDB database....

MongoDB Shell vs MongoDB Compass vs Drivers

Introduction In MongoDB, there are several ways to interact with the database, each suited to different use cases and user preferences. In this module, we...

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Model Evaluation Techniques and Metrics

Kumar Prafull -
Why Evaluate a Model? Once you’ve trained a machine learning model, it’s crucial to assess how well it performs. This step helps you understand if...

Hyperparameter Tuning and Model Optimization

Kumar Prafull -
What Are Hyperparameters? In machine learning, hyperparameters are the external configurations that control the learning process. These parameters are set before training and can significantly...

Introduction to Machine Learning with Scikit-Learn

Kumar Prafull -
What is Machine Learning? Machine learning (ML) is a subset of artificial intelligence (AI) where algorithms learn patterns from data and use them to make...

Data Cleaning and Preprocessing Techniques

Kumar Prafull -
Why Clean Data? Real-world data is rarely in the right shape for analysis. It often contains errors, missing values, and inconsistencies. Data cleaning is a...

Data Visualization with Matplotlib and Seaborn

Kumar Prafull -
Why Visualize Data? No matter how good your analysis is, if others can't understand it, it loses impact. Visualization bridges that gap. Charts help you...

Introduction to Pandas and Working with Tabular Data

Kumar Prafull -
Why Pandas? When working with data, you'll almost always deal with tables — datasets with rows and columns, like spreadsheets. Enter Pandas: Python’s go-to library...

Python Basics for Data Science

Kumar Prafull -
Why Python? Python has become the de facto language of data science, and for good reason. It’s beginner-friendly, highly readable, and backed by a vast...

Core Concepts in Statistics & Probability for Data Science

Kumar Prafull -
Why Statistics & Probability Matter in Data Science Behind every data model and dashboard is a foundation built on statistics and probability. These concepts help...

Real-world Applications of Data Science

Kumar Prafull -
We often hear the phrase “data is the new oil,” but what truly gives data its value is the ability to turn it into...

What is Data Science?

Kumar Prafull -
In an increasingly digital world, data is being generated at an unprecedented rate. From your morning coffee purchase to your late-night scroll through social...

Datafication – All you need to know!

Pratiksha -
In today's digital age, data has become the lifeblood of organizations across industries. The process of datafication, which involves the collection, analysis, and transformation...

The Advancements and Threats of AI: Analyzing the Benefits and Risks of ChatGPT and GPT-4

Kumar Prafull -
Artificial Intelligence (AI) has become increasingly popular in recent years, with new technologies such as ChatGPT and GPT-4 revolutionizing the field. These language models...
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