Update README.md

Author: krzjoa

README.md

@@ -66,17 +66,6 @@
 * [Little Ball of Fur](https://github.com/benedekrozemberczki/littleballoffur) - A library for sampling graph structured data.
 * [causalml](https://github.com/uber/causalml) - Uplift modeling and causal inference with machine learning algorithms. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 
-### Time Series
-* [sktime](https://github.com/alan-turing-institute/sktime) - A unified framework for machine learning with time series. <img height="20" src="img/sklearn_big.png" alt="sklearn">
-* [tslearn](https://github.com/rtavenar/tslearn) - Machine learning toolkit dedicated to time-series data. <img height="20" src="img/sklearn_big.png" alt="sklearn">
-* [tick](https://github.com/X-DataInitiative/tick) - Module for statistical learning, with a particular emphasis on time-dependent modelling. <img height="20" src="img/sklearn_big.png" alt="sklearn">
-* [Prophet](https://github.com/facebook/prophet) - Automatic Forecasting Procedure.
-* [PyFlux](https://github.com/RJT1990/pyflux) - Open source time series library for Python.
-* [bayesloop](https://github.com/christophmark/bayesloop) - Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
-* [luminol](https://github.com/linkedin/luminol) - Anomaly Detection and Correlation library.
-* [dateutil](https://dateutil.readthedocs.io/en/stable/) - Powerful extensions to the standard datetime module
-* [maya](https://github.com/timofurrer/maya) - makes it very easy to parse a string and for changing timezones
-
 ### Automated Machine Learning
 * [TPOT](https://github.com/rhiever/tpot) - Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 * [auto-sklearn](https://github.com/automl/auto-sklearn) - An automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. <img height="20" src="img/sklearn_big.png" alt="sklearn">
@@ -362,6 +351,17 @@
 * [Talos](https://github.com/autonomio/talos) - Hyperparameter Optimization for Keras Models.
 * [nlopt](https://github.com/stevengj/nlopt) - Library for nonlinear optimization (global and local, constrained or unconstrained).
 
+### Time Series
+* [sktime](https://github.com/alan-turing-institute/sktime) - A unified framework for machine learning with time series. <img height="20" src="img/sklearn_big.png" alt="sklearn">
+* [tslearn](https://github.com/rtavenar/tslearn) - Machine learning toolkit dedicated to time-series data. <img height="20" src="img/sklearn_big.png" alt="sklearn">
+* [tick](https://github.com/X-DataInitiative/tick) - Module for statistical learning, with a particular emphasis on time-dependent modelling. <img height="20" src="img/sklearn_big.png" alt="sklearn">
+* [Prophet](https://github.com/facebook/prophet) - Automatic Forecasting Procedure.
+* [PyFlux](https://github.com/RJT1990/pyflux) - Open source time series library for Python.
+* [bayesloop](https://github.com/christophmark/bayesloop) - Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
+* [luminol](https://github.com/linkedin/luminol) - Anomaly Detection and Correlation library.
+* [dateutil](https://dateutil.readthedocs.io/en/stable/) - Powerful extensions to the standard datetime module
+* [maya](https://github.com/timofurrer/maya) - makes it very easy to parse a string and for changing timezones
+
 ## Natural Language Processing
 * [NLTK](https://github.com/nltk/nltk) - Modules, data sets, and tutorials supporting research and development in Natural Language Processing.
 * [CLTK](https://github.com/cltk/cltk) - The Classical Language Toolkik.
@@ -373,7 +373,6 @@
 * [flair](https://github.com/zalandoresearch/flair) - Very simple framework for state-of-the-art NLP.
 * [spaCy](https://spacy.io/) - Industrial-Strength Natural Language Processing.
 
-
 ## Computer Audition
 * [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
 * [Yaafe](https://github.com/Yaafe/Yaafe) - Audio features extraction.