- Comprehensive Guide to the Normal Distribution - Jan 18, 2021.
Drop in for some tips on how this fundamental statistics concept can improve your data science.
Distribution, Normal Distribution, Python, SciPy, Statistics
- Python Data Science for Beginners - Feb 20, 2019.
Python’s syntax is very clean and short in length. Python is open-source and a portable language which supports a large standard library. Buy why Python for data science? Read on to find out more.
Beginners, Data Science, Matplotlib, numpy, Pandas, Python, scikit-learn, SciPy
- Notes on Feature Preprocessing: The What, the Why, and the How - Oct 26, 2018.
This article covers a few important points related to the preprocessing of numeric data, focusing on the scaling of feature values, and the broad question of dealing with outliers.
Data Preparation, Data Preprocessing, numpy, Python, scikit-learn, SciPy
- Top 20 Python Libraries for Data Science in 2018 - Jun 27, 2018.
Our selection actually contains more than 20 libraries, as some of them are alternatives to each other and solve the same problem. Therefore we have grouped them as it's difficult to distinguish one particular leader at the moment.
Pages: 1 2
Bokeh, Data Science, Keras, Matplotlib, NLTK, numpy, Pandas, Plotly, Python, PyTorch, scikit-learn, SciPy, Seaborn, TensorFlow, XGBoost
- Comparing Distance Measurements with Python and SciPy - Aug 15, 2017.
This post introduces five perfectly valid ways of measuring distances between data points. We will also perform simple demonstration and comparison with Python and the SciPy library.
Clustering, K-means, Python, SciPy