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Artificial Intelligence
Introduction to Machine Learning with Python
Learn concerning the basics of Machine Learning and learn how to use Python libraries like scikit-learn to construct machine learning modelsMachine learning is a rapidly growing field that permits computers to learn and make...
Artificial Intelligence
Constructing a Advice System Using Machine Learning
Global customer data generation is increasing at an unprecedented rate. Firms are leveraging AI and machine learning to utilize this data in modern ways. An ML-powered advice system can utilize customer data effectively to...
Artificial Intelligence
Implementing a Machine Learning-Based Netflix Advice System using Apache Kafka and Python Step 1: Install Kafka and ZooKeeper in your machine Step 2: Download and extract...
: Our project might be to construct a advice system for Netflix users based on their viewing history. We'll use Apache Kafka to stream user’s viewing history to a machine learning model that can...
Artificial Intelligence
Write Readable Tests for Your Machine Learning Models with Behave
Use natural language to check the behavior of your ML modelsImagine you create an ML model to predict customer sentiment based on reviews. Upon deploying it, you realize that the model incorrectly labels certain...
Artificial Intelligence
Traditional Versus Neural Metrics for Machine Translation Evaluation
100+ latest metrics since 2010COMET and BLEURT rank at the highest while BLEU appears at the underside. Interestingly, you can even notice on this table that there are some metrics that I didn’t write...
Artificial Intelligence
Constructing a Full-Stack Machine Learning Web Application: Integrating FastAPI, Streamlit Front-End Streamlit Machine Learning Models Back-End FastAPI Conclusion Contact me
Hello everyone, Today we'll make a Full-Stack Machine learning application with you.On this project, we'll use Front-End, Back-End and Machine learning algorithms together.Front-End: StreamlitBack-End: FastAPIMachine Learning Algorithm: Logistic Regression, KNN, Decision Tree.After we examine...
Artificial Intelligence
An Introduction to Credit Risk in Banking: BASEL, IFRS9, Pricing, Statistics, Machine Learning — PART 1 Table of Contents The Basics To Credit Risk in Banking:...
Hello, and welcome to my blog series! I actually have all the time desired to share my thoughts and insights on credit risk within the banking industry. As a Junior Author and Data Scientist/Quant,...
Artificial Intelligence
Data Drift Vs Concept Drift in Machine learning
. Why does model decay occur? Why does the model which was doing good for previous few days/months starts behaving in another way? Lets attempt to deep dive and understand the explanations for this...
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