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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.

Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python

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Many time forecasting problems can be solved by predicting just one step into the future. However, some problems require a forecast for an extended period of time, which calls for a multi-step time series forecasting approach. This approach involves modeling the distribution of future values of a signal over a prediction horizon. In this article, … Read more

Geographic Heat Maps with GeoPandas: Visualizing COVID-19 Data in Python

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The spreading of COVID-19 has led to an increased interest in displaying region and country-specific information on geographic heat maps. Geographic heat maps use color shadings to visualize data that includes a spatial component and refers, for example, to countries, cities, towns, mountains, etc. The color shades are defined in a color palette and determined … Read more

Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?

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Correlation analysis is a powerful tool in financial market analysis, helping investors to better understand the interdependence of different assets. But what happens when an unprecedented global pandemic like COVID-19 shakes up the market? In this tutorial, we will show you how to create a correlation matrix in Python that will help you visualize the … Read more

Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python

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Get ready to level up your time-series forecasting game! In this tutorial, we’re going to take things up a notch by showing you how to adjust prediction intervals using Keras recurrent neural networks and Python. Now, you may remember our previous article on stock market forecasting where we made a forecast for the S&P500 stock … Read more

Stock Market Prediction using Univariate Recurrent Neural Networks (RNN) with Python

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Financial analysts have long been fascinated by the prospect of predicting the prices of financial assets. In recent years, there has been increasing interest in using machine learning and deep learning techniques to generate predictions, in addition to traditional methods such as technical and fundamental analysis. Python libraries like Keras and Scikit-Learn make it relatively … Read more

Accessing Remote Data Sources via REST APIs in Python

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REST APIs provide straightforward access to remote data sources. Data scientists should learn about REST APIs because APIs (Application Programming Interfaces) are an important way for data scientists to access data from other sources. By using REST APIs, data scientists can access data from a wide range of sources, including databases, web services, and other … Read more

Getting Started with the Anaconda Python Environment for Machine Learning

Anaconda is a popular open-source Python environment specifically designed for data science and machine learning. It comes with a range of useful features and tools, including Jupyter Notebooks, pre-installed packages, and a powerful package manager. It is the most widely used Python environment among data scientists and machine learning practitioners. In this article, we will … Read more

Flight Delay Prediction using Azure Machine Learning

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If you travel a lot, you’ve probably already experienced this – you’re in a hurry on your way to the airport trying to catch a flight, only to find out that your flight is delayed. Wasn’t it great to know when a flight will be delayed in advance? We can use past flight delay data … Read more