How to Build a Twitter News Bot with OpenAI ChatGPT and NewsAPI in Python
It’s no secret that Large Language Models (LLMs) are a powerful tool for automating social media tasks. Not only can … Read more
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There are several common machine learning packages in Python, including:
- NumPy: a fundamental package for scientific computing with Python, providing support for arrays and matrices.
- SciPy: a library for scientific and technical computing with Python, providing support for advanced mathematical functions, optimization, and statistics.
- Pandas: a library for data manipulation and analysis, providing support for data structures and operations for manipulating numerical tables and time series.
- scikit-learn: a machine learning library for Python, providing implementations of a wide range of machine learning algorithms and utility functions for preprocessing and model evaluation.
- TensorFlow: an open-source software library for machine learning, providing support for building and training machine learning models using neural networks.
- Keras: a high-level neural networks API for Python, providing a simple and modular interface for building and training machine learning models.
- PyTorch: an open-source machine learning library for Python, providing support for building and training deep learning models using tensors.
- Plotly: Plotly is a data visualization library for creating a wide range of interactive plots and charts.
Using Fairlearn to Build Fair Machine Machine Learning Models with Python: Step-by-Step Towards More Responsible AI
As we enter an era where intelligent systems are increasingly relied upon to make key decisions, responsible AI has become … Read more
Generating Detailed Images with OpenAI DALL-E and ChatGPT in Python: A Step-By-Step API Tutorial
In this article, we will explore how to automate the creation of AI-generated art by integrating DALL-E with ChatGPT using … Read more
Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python
Predictive maintenance is a game-changer for the modern industry. Still, it is based on a simple idea: By using machine … Read more
How to Use Hierarchical Clustering For Customer Segmentation in Python
Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more … Read more
Univariate Stock Market Forecasting using Facebook Prophet in Python
Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by … Read more
On-Chain Analytics: Metrics for Analyzing Blockchains in Python
Cryptocurrencies like Bitcoin or Ethereum are built on public blockchains, meaning anyone can see the transactions and trades happening on … Read more
Using Pandas DataReader to Access Online Data Sources in Python
Pandas DataReader is a library that allows data scientists to easily read data from a variety of sources into a … Read more
Feature Engineering and Selection for Regression Models with Python and Scikit-learn
Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients … Read more
Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python
Content-based recommender systems are a popular type of machine learning algorithm that recommends relevant articles based on what a user … Read more
Unveiling Hidden Patterns in the Cryptocurrency Market with Affinity Propagation and Python
Affinity propagation is a powerful unsupervised clustering technique that can identify hidden patterns in large datasets. In the cryptocurrency world, … Read more