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Abhigyan
Abhigyan

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Published in

Geek Culture

·Aug 30, 2021

Cross-Validation Techniques

This article aims to explain different Cross-Validation techniques and how they work. — Contents: → Introduction → What is Cross-Validation? → Different Types of Cross-Validation 1. Hold-Out Method 2. K-Folds Method 3. Repeated K-Folds Method 4. Stratified K-Folds Method 5. Group K-Folds Method 6. Shuffle Split Method 7. Stratified Shuffle Split Method 8. Group Shuffle Split Method 9. Leave-One-Out Method 10. Leave-P-Out Method 11. Leave-One-Group-Out Method 12. Leave-P-Group-Out Method 13. Time Series Cross-Validation Method 14. Blocked Cross-Validation Method 15. Nested Cross-Validation…

Data Science

13 min read

Cross-Validation Techniques
Cross-Validation Techniques
Data Science

13 min read


Published in

Analytics Vidhya

·Jul 17, 2021

Different types of Hyper-Parameter Tuning.

This article aims to show python implementation for different Hyperparameter Tuning techniques using the RandomForest model. — Contents: → Importance of Hyper-Parameter Tuning! → Hyperparameter Tuning/Optimization → Defining Functions → Checking Performance on Base Model → Different Hyperparameter Tuning Methods 1. GridSearch 2. RandomSearch 3. Successive Halving 4. Bayesian Optimizers 5. Manual Search → Difference between Parameters and Hyperparameters → Conclusion

Data Science

13 min read

Different types of Hyper-Parameter Tuning.
Different types of Hyper-Parameter Tuning.
Data Science

13 min read


Published in

Analytics Vidhya

·Feb 7, 2021

Building, Containerizing and Deploying a News Classifier App

This article is all about the end-to-end project of News Classifier. App has been built using streamlit, containerized with Docker and deployed on AWS using Fargate. This article aims to give a complete walkthrough of the process. For this, we will be using the data from Kaggle. LINK Create a .IPYNB file For this…

Data Science

12 min read

Building, Containerizing and Deploying a News Classifier App
Building, Containerizing and Deploying a News Classifier App
Data Science

12 min read


Published in

Analytics Vidhya

·Nov 15, 2020

Problems with Precision and Recall.

If you’ve been learning data science or been in the field for some time now. You might have build tons of Classification models and checked the performance of the model with different metrics. The big 4 metrics : * Precision * Recall * Accuracy * F1-Score We know, that when we have imbalanced data accuracy is not the metrics we should be looking…

Data Science

5 min read

Problems with Precision and Recall.
Problems with Precision and Recall.
Data Science

5 min read


Published in

Analytics Vidhya

·Sep 27, 2020

Understanding Ensemble Techniques!!!

Content: What are Ensemble Methods? Intuition Behind Ensemble Methods! Different Ensemble Methods * Bagging →Intuition behind Bagging * Boosting →Intuition behind Boosting * Stacking →Intuition behind Stacking * Bucket of models What are Ensemble Methods? Ensemble methods are techniques that create multiple models and then combine them to produce improved results. This approach allows the…

Data Science

5 min read

Understanding Ensemble Techniques!!!
Understanding Ensemble Techniques!!!
Data Science

5 min read


Published in

Analytics Vidhya

·Sep 20, 2020

Techniques to Transform Data Distribution!!!

In Machine Learning most of the algorithms work on the assumption of the normal distribution of the data. However not all machine learning algorithms make such assumptions to know beforehand the type of data distribution it will work on but learns it directly from the data used for training. Content: What…

Data Science

5 min read

Techniques to Transform Data Distribution!!!
Techniques to Transform Data Distribution!!!
Data Science

5 min read


Published in

Analytics Vidhya

·Sep 13, 2020

Handling Imbalanced Classes!!!

One of the many problems with the real world machine learning classification problems is the issue of the imbalanced data. …

Data Science

5 min read

Handling Imbalanced Classes!!!
Handling Imbalanced Classes!!!
Data Science

5 min read


Published in

Analytics Vidhya

·Sep 6, 2020

Understanding Decision Tree!!

What is Decision Tree? A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. Decision tree learning is one of the predictive modelling approaches used in statistics and machine learning. It uses a decision tree to go…

Data Science

9 min read

Understanding Decision Tree!!
Understanding Decision Tree!!
Data Science

9 min read


Published in

Analytics Vidhya

·Aug 2, 2020

Understanding Polynomial Regression!!!

In my previous articles we took an overview of Linear Regression and Logistic Regression. Let’s see another algorithm in the Regression Family. Content: What is Polynomial Regression? Assumptions of Polynomial Regression. Why do we need Polynomial Regression? How to find the right degree of the Polynomial Equation? Math Behind Polynomial Equation. …

Data Science

7 min read

Understanding Polynomial Regression!!!
Understanding Polynomial Regression!!!
Data Science

7 min read


Published in

Analytics Vidhya

·Jul 26, 2020

Understanding Logistic Regression!!!

In my previous Blog, I tried explaining about Linear Regression and how it works.Let’s See why Logistic Regression is one of the important topic to understand. Here’s the link to my previous article on Linear Regression in case you missed it. Content What is Logistic Regression? Types of Logistic Regression. Assumptions…

Data Science

11 min read

Understanding Logistic Regression!!!
Understanding Logistic Regression!!!
Data Science

11 min read

Abhigyan

Abhigyan

261 Followers

Data Science professional @ HyloBiz. https://abhigyansingh97.github.io/

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