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CATBOOST is an open-source machine learning library developed by the search engine giant Yandex. It makes feature engineering tasks easier.
In this first article, we will focus on the introduction of computer vision, and the face detection application based on the Python OpenCV
Discover LSTM for stock price prediction: understand its architecture, tackle challenges, implement in Python, and visualize results!
Build chatbot using Natural Language Processing in Python. Learn coding, NLP techniques, and automate customer service. Start building today!
Keras is an open-source library that is used to implement ANN in Keras. We will use Keras Sequential Model to authenticate banknotes.
Django Framework is used for creating some really exciting data science projects. It is used to code the backend of a webpage in Python
ARIMA Model (AutoRegressive Integrated Moving Average)has 3 parameters p, d, and q accounting for seasonality, trend, and noise in the dataset
Landmark detection with deep learning is the mechanism of detecting human-made sculptures, structures, buildings, and monuments.
Neural networks are a subset of machine learning. People exposed to artificial intelligence generally have a good high-level idea about it.
Dependency Parsing in NLP is an interdisciplinary concept that uses the fundamentals of computational linguistics and Synthetic Intelligence.
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