What is Feature Engineering
Dive into our latest classroom conversation where we demystify Feature Engineering! Learn how transforming raw data into meaningful features can enhance your...
Tag Index
The following are tags and blogs related to them
- machine learning 19
- clasroom conversation 16
- EDA 2
- Data Visualization 2
- aws 2
- book review 2
- mlops tools 2
- aws sagemaker 1
- sharing my experience 1
machine learning
What is Gradient Descent
Explore the world of machine learning with our ‘ML Made Easy’ classroom series! In this conversation, a curious student dives into the realm of Gradient Desc...
What is Hyperparameters
Explore the world of machine learning as we simplify the concept of hyperparameters in a classroom conversation. Understand their crucial role in optimizing ...
What is the most effective way to learn Machine Learning
Learn about the journey of a beginner in the field of machine learning. Discover how they started with online courses, transitioned to Kaggle competitions, t...
What is Cross Validation
Discover the essence of cross-validation in machine learning through a conversation between a student and a teacher. They use a clever analogy, likening it t...
What is Computer Vision
Explore Computer Vision in our ‘ML Made Easy’ series as we break down this complex topic into simple terms. Learn how it empowers computers to ‘see’ and unde...
What is Natural Language Processing
Natural Language Processing (NLP) is like teaching computers to understand and talk like humans, enabling them to comprehend our words, discern intentions, a...
What is Recommender system
A conversation explaining recommendation system, its definition, examples, and a relatable analogy for better understanding.
What is Transfer Learning
A conversation explaining transfer learning, its definition, examples, and a relatable analogy for better understanding.
What is Deep Learning and Neural Network
In this conversation, we explore about deep learning and neural networks. Through a conversation between a teacher and a student, we uncover the essence of d...
Types of Machine Learning
In this conversation, the teacher and student discuss different types of Machine Learning. The student explains supervised learning, unsupervised learning, a...
What is Machine Learning
In this conversation, a teacher and student discuss the concept of Machine Learning. The student explains that Machine Learning involves teaching computers t...
Evaluation Metrics
In this classroom discussion, the teacher introduces the topic of evaluation metrics, and a student provides an explanation. They discuss different evaluatio...
Data Lekage
In this classroom discussion, the teacher asks the students to explain data leakage and its challenges. A student describes data leakage as the inclusion of ...
Class Imbalance
In this classroom discussion, the teacher introduces the concept of class imbalance, where one class or label has more or fewer examples than another. A stud...
Overfitting Vs Underfitting
In this classroom discussion, the teacher introduces the concepts of overfitting and underfitting in machine learning models. A student explains that overfit...
Models - What are they
In this classroom discussion, the teacher asks the students to explain what a model is in the context of machine learning. One student describes a model as a...
How I Prepared for AWS ML Specialty Certification
Discover my objective and preparation strategy for clearing the AWS Certified Machine Learning Specialty Exam. Learn about the structure of the exam, its dom...
Regression Test Case Selection Using ML
Regression testing plays a crucial role in software development, but retesting the entire program after making changes or adding new features is often imprac...
clasroom conversation
What is Feature Engineering
Dive into our latest classroom conversation where we demystify Feature Engineering! Learn how transforming raw data into meaningful features can enhance your...
What is Gradient Descent
Explore the world of machine learning with our ‘ML Made Easy’ classroom series! In this conversation, a curious student dives into the realm of Gradient Desc...
What is Hyperparameters
Explore the world of machine learning as we simplify the concept of hyperparameters in a classroom conversation. Understand their crucial role in optimizing ...
What is Cross Validation
Discover the essence of cross-validation in machine learning through a conversation between a student and a teacher. They use a clever analogy, likening it t...
What is Computer Vision
Explore Computer Vision in our ‘ML Made Easy’ series as we break down this complex topic into simple terms. Learn how it empowers computers to ‘see’ and unde...
What is Natural Language Processing
Natural Language Processing (NLP) is like teaching computers to understand and talk like humans, enabling them to comprehend our words, discern intentions, a...
What is Recommender system
A conversation explaining recommendation system, its definition, examples, and a relatable analogy for better understanding.
What is Transfer Learning
A conversation explaining transfer learning, its definition, examples, and a relatable analogy for better understanding.
What is Deep Learning and Neural Network
In this conversation, we explore about deep learning and neural networks. Through a conversation between a teacher and a student, we uncover the essence of d...
Types of Machine Learning
In this conversation, the teacher and student discuss different types of Machine Learning. The student explains supervised learning, unsupervised learning, a...
What is Machine Learning
In this conversation, a teacher and student discuss the concept of Machine Learning. The student explains that Machine Learning involves teaching computers t...
Evaluation Metrics
In this classroom discussion, the teacher introduces the topic of evaluation metrics, and a student provides an explanation. They discuss different evaluatio...
Data Lekage
In this classroom discussion, the teacher asks the students to explain data leakage and its challenges. A student describes data leakage as the inclusion of ...
Class Imbalance
In this classroom discussion, the teacher introduces the concept of class imbalance, where one class or label has more or fewer examples than another. A stud...
Overfitting Vs Underfitting
In this classroom discussion, the teacher introduces the concepts of overfitting and underfitting in machine learning models. A student explains that overfit...
Models - What are they
In this classroom discussion, the teacher asks the students to explain what a model is in the context of machine learning. One student describes a model as a...
EDA
COVID-19-Insights with Data Visualization
In this post, the author explores the impact of COVID-19 on different countries using data visualization techniques. The focus is on countries like China, So...
Beginner’s Guide to Exploratory Data Analysis and Feature Engineering
In this blog post, the author provides a beginner’s guide to exploratory data analysis (EDA) and feature engineering using the Titanic disaster dataset. They...
Data Visualization
COVID-19-Insights with Data Visualization
In this post, the author explores the impact of COVID-19 on different countries using data visualization techniques. The focus is on countries like China, So...
Beginner’s Guide to Exploratory Data Analysis and Feature Engineering
In this blog post, the author provides a beginner’s guide to exploratory data analysis (EDA) and feature engineering using the Titanic disaster dataset. They...
aws
Why AWS Lambda with DVC is not a best choice for Data Versioning Pipeline
Discover the challenges and learnings from attempting to implement a data versioning pipeline using AWS Lambda and DVC. This blog shares a real-world experie...
How I Prepared for AWS ML Specialty Certification
Discover my objective and preparation strategy for clearing the AWS Certified Machine Learning Specialty Exam. Learn about the structure of the exam, its dom...
book review
Psychology of Money - My Perspective and Key Takeaways
Discover key lessons and insights from Morgan Housel’s ‘The Psychology of Money,’ including the importance of behavior in financial success, the role of luck...
Atomic Habits - My Perspective and Key Takeaways from James Clear’s Book
Discover the valuable lessons learned from reading Atomic Habits by James Clear. Explore the author’s evidence-based approach to habit formation and how smal...
mlops tools
Why AWS Lambda with DVC is not a best choice for Data Versioning Pipeline
Discover the challenges and learnings from attempting to implement a data versioning pipeline using AWS Lambda and DVC. This blog shares a real-world experie...
AWS SageMaker - Empowering Your ML Lifecycle
In this blog post, I explore the features and use cases of AWS SageMaker in the field of Machine Learning. Specifically, I focus on its capabilities that ena...
aws sagemaker
AWS SageMaker - Empowering Your ML Lifecycle
In this blog post, I explore the features and use cases of AWS SageMaker in the field of Machine Learning. Specifically, I focus on its capabilities that ena...