Evidently AI Tutorial-Open Source ML Models Monitoring and Observability
Evidently is an open-source Python library for data scientists and ML engineers.It helps evaluate, test, and monitor data and ML models from validation to production. It works with tabular, text data and embeddings.
vidently helps evaluate and test data and ML model quality throughout the model lifecycle.
Code : https://colab.research.google.com/drive/1bdXdxffXo8Ag0Wbyu2d9agXaUCnZjFDm?usp=sharing
Evidently has a modular approach with 3 components: Reports, Test Suites, and a Monitoring Dashboard. They cover different usage scenarios: from ad hoc analysis to automated pipeline testing and continuous monitoring.
Evidently has a simple, declarative API and a library of in-built metrics, tests, and visualizations.
Timestamp:
00:00:00 Introduction
00:02:25 What is Evidently AI
00:05:25 Model Monitoring Using Evidently AI
00:14:17 Model Performance Check Using Evidently AI
00:25:53 Target Drift Using Evidently AI
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Natural Language Processing|Stemming
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Gaussian distribution or Normal Distribution in statisctics
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Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
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Log Normal Distribution in Statistics
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Covariance in Statistics
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Confusion matrix, Precision, Recall| Data Science Interview questions
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Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
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Implementing a Spam classifier in python| Natural Language Processing
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Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
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Face Recognition using open CV and VGG 16 Transfer Learning
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Pedestrian Detection using OpenCV from Videos
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Face and Eye Detection from Videos using HAAR Cascade Classifier
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OpenCV Installation | OpenCV tutorial
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Car Detection using HAAR Cascade and Opencv from Videos.
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Using OpenFace for Face recognition in Keras
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OpenPose Tutorial with Tensorflow
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Dimensional Reduction| Principal Component Analysis
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Movie Recommender System using Python
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TPR,FPR,FNR,TNR, Confusion Matrix
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Precision, Recall and F1-Score
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Artificial Neural Network for Customer's Exit Prediction from Bank
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GridSearchCV- Select the best hyperparameter for any Classification Model
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RandomizedSearchCV- Select the best hyperparameter for any Classification Model
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K Nearest Neighbor classification with Intuition and practical solution
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K Means Clustering Intuition
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Create custom Alexa Skill- Lambda function- Part2
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Hierarchical Clustering intuition
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Implement Transfer Learning with a generic Code Template
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Gender Classifier and Age Estimator using Resnet Convolution Neural Network
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Unlock Your Application With Your Face using OpenCV
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Draw rectangle from webcam and sketch process it on a live feed
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Complete Life Cycle of a Data Science Project
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How we can apply Machine Learning in Finance
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Deep Learning in Medical Science
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How to switch your career to Data Science.
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Linear Regression Mathematical Intuition
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Handle Categorical features using Python
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Machine Learning Algorithm- Which one to choose for your Problem?
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DBSCAN Clustering Easily Explained with Implementation
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Curse of Dimensionality Easily explained| Machine Learning
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Feature Selection Techniques Easily Explained | Machine Learning
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Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
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Cross Validation using sklearn and python | Machine Learning
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Handling Missing Data Easily Explained| Machine Learning
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Deploy Machine Learning Model using Flask
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Deployment of Deep Learning Model using Flask
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How to Visualize Multiple Linear Regression in python
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K Nearest Neighbour Easily Explained with Implementation
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Predicting Heart Disease using Machine Learning
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Predicting Lungs Disease using Deep Learning
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Stock Sentiment Analysis using News Headlines
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Random Forest(Bootstrap Aggregation) Easily Explained
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Voting Classifier(Hard Voting and Soft Voting Classifier)
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Credit Card Fraud Detection using Machine Learning from Kaggle
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Hyperparameter Optimization for Xgboost
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Tutorial 45-Handling imbalanced Dataset using python- Part 1
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Chapters (5)
Introduction
2:25
What is Evidently AI
5:25
Model Monitoring Using Evidently AI
14:17
Model Performance Check Using Evidently AI
25:53
Target Drift Using Evidently AI
🎓
Tutor Explanation
DeepCamp AI