Predictive-analytics Libraries

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Predictive-analytics Libraries

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

You should already have pip, Python, and optionally XGBoost, LightGBM, and CatBoost installed on your system (see below). Run the following command to install AlphaPy: Pyfolio is automatically instal…

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can…

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

It was last updated to a fully running version in late October, 2021. You should refer to the Jupyter Notebooks in this repository rather than the book's source code, which is badly outdated and will…

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Qlik's advanced analytics integration provides a path to making modern data science algorithms accessible to the wider business audience. This project is an attempt to show what's possible. This repo…

Data-Analyst-Roadmap for Professionals. This roadmap contains 8 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced professional who wants to transition into Data Analysis.

Data-Analyst-Roadmap for Students and Professionals 1 - Python Programming 2 - Understanding NumPy 3 - Exploratory Data Analysis (EDA) with Pandas 4 - Data Visualization with Matplotlib and Seaborn 5…

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