Канал: Vivek Kumar

How to run Lightgbm model faster using GPU?

How to run Lightgbm model faster using GPU?

LUDWIG: Build and train deep learning model without writing code

LUDWIG: Build and train deep learning model without writing code

How to train Scikit-Learn model faster?

How to train Scikit-Learn model faster?

How to run faster pandas apply function by changing a single line of code?

How to run faster pandas apply function by changing a single line of code?

How to speed up Pandas by changing a single line of code?

How to speed up Pandas by changing a single line of code?

Why bias is important for deep learning model?

Why bias is important for deep learning model?

How Relu activation provides nonlinearity?

How Relu activation provides nonlinearity?

How frequently should you retrain machine learning model? - Part2

How frequently should you retrain machine learning model? - Part2

How frequently should you retrain machine learning model? - Part1

How frequently should you retrain machine learning model? - Part1

What and how much new data is required for machine learning model retraining?

What and how much new data is required for machine learning model retraining?

What is machine learning model retraining and why it's required for all production systems?

What is machine learning model retraining and why it's required for all production systems?

Deploy machine learning model on Kubernetes

Deploy machine learning model on Kubernetes

Create & setup kubernetes cluster using KIND

Create & setup kubernetes cluster using KIND

High level overview of kubernete cluster

High level overview of kubernete cluster

How to build Machine learning APP using FastAPI, Swagger , Streamlit & Docker?

How to build Machine learning APP using FastAPI, Swagger , Streamlit & Docker?

How to build Machine learning APP using FastAPI, Swagger & Streamlit?

How to build Machine learning APP using FastAPI, Swagger & Streamlit?

MLflow Model Experiment Tracking - How to track machine learning model experiments?

MLflow Model Experiment Tracking - How to track machine learning model experiments?

MLflow Model Experiment Tracking - Why machine learning model tracking is important?

MLflow Model Experiment Tracking - Why machine learning model tracking is important?

Importance and approach to explain machine learning model output.

Importance and approach to explain machine learning model output.

Partial dependency plot: How feature impact model prediction?

Partial dependency plot: How feature impact model prediction?

SHAP Dependency Plot : How feature interaction impact model prediction?

SHAP Dependency Plot : How feature interaction impact model prediction?

Why model thinks that a given customer will churn?What explanation SHAP can provide to the end-user?

Why model thinks that a given customer will churn?What explanation SHAP can provide to the end-user?

How SHAP global feature importance is different from XGBOOST Feature importance?

How SHAP global feature importance is different from XGBOOST Feature importance?

How does SHAP model interpretation works?

How does SHAP model interpretation works?

What is permutation importance and how to apply it for getting global feature importance?

What is permutation importance and how to apply it for getting global feature importance?

Beyond machine learning model- Counterfactual model explanation - What can be done to minimize churn

Beyond machine learning model- Counterfactual model explanation - What can be done to minimize churn

Anchor model Interpretation on Credit Risk dataset

Anchor model Interpretation on Credit Risk dataset

LIME model Interpretation on Credit Risk dataset

LIME model Interpretation on Credit Risk dataset

How LIME model interpretation works?

How LIME model interpretation works?

How to perform a production data validation against the data expectation for the model drift check?

How to perform a production data validation against the data expectation for the model drift check?

Part2 - How to generate data expectation for data drift monitoring?

Part2 - How to generate data expectation for data drift monitoring?

Part1 - How to generate data expectation for data drift monitoring?

Part1 - How to generate data expectation for data drift monitoring?

What to monitor for identifying model drift in production?

What to monitor for identifying model drift in production?

How to monitor machine learning model for the model drift?

How to monitor machine learning model for the model drift?

How to get data from Google drive to Google Colab notebook

How to get data from Google drive to Google Colab notebook

Bias and Variance Tradeoff

Bias and Variance Tradeoff

Train, Validation and Test split

Train, Validation and Test split

Loan Default prediction - Machine Learning model deployment - A/B testing using Ray Serve - Part9

Loan Default prediction - Machine Learning model deployment - A/B testing using Ray Serve - Part9

Loan Default prediction - Machine Learning API building and shadow testing - Part8

Loan Default prediction - Machine Learning API building and shadow testing - Part8

Loan Default prediction - Machine Learning API building and deployment using Ray Serve Part7

Loan Default prediction - Machine Learning API building and deployment using Ray Serve Part7

Loan Default prediction - Python Environment Creation for model deployment - Part6

Loan Default prediction - Python Environment Creation for model deployment - Part6

Loan Default prediction - Machine Learning Training - Part5

Loan Default prediction - Machine Learning Training - Part5

Loan Default prediction - Data Analysis and Feature Engineering - Part4

Loan Default prediction - Data Analysis and Feature Engineering - Part4

Loan Default prediction - Python Environment Creation for model training - Part3

Loan Default prediction - Python Environment Creation for model training - Part3

Loan Default Prediction - Machine Learning API deployment strategies using Ray Serve - Part2

Loan Default Prediction - Machine Learning API deployment strategies using Ray Serve - Part2

Loan Default prediction - Problem definition - Part1

Loan Default prediction - Problem definition - Part1

Data drift in Machine Learning

Data drift in Machine Learning

Write your first python code in Google Colab

Write your first python code in Google Colab

Install and setup visual studio code editor

Install and setup visual studio code editor

Install Python in Windows

Install Python in Windows

Setup lightweight Python Virtual Environment for Python

Setup lightweight Python Virtual Environment for Python

Machine Learning model Deployment on AWS Lambda - Part4

Machine Learning model Deployment on AWS Lambda - Part4

Spam Classifier - Machine Learning model API Building - Part2

Spam Classifier - Machine Learning model API Building - Part2

Spam classifier Machine Learning model API Testing using POSTMAN - Part3

Spam classifier Machine Learning model API Testing using POSTMAN - Part3

Spam Classifier - Problem and model training - Part 1

Spam Classifier - Problem and model training - Part 1

Machine Learning deployment Architecture - AWS Lambda and Zappa

Machine Learning deployment Architecture - AWS Lambda and Zappa

Install Linux Virtual machine on Windows10

Install Linux Virtual machine on Windows10

AWS Credential setup

AWS Credential setup

Install Docker in Linux machine

Install Docker in Linux machine

Install and setup Jupyter Notebook

Install and setup Jupyter Notebook

Install miniconda - Ubuntu and Windows10

Install miniconda - Ubuntu and Windows10