replace http:// with https:// (#72)

* replace `http://` with `https://`

* Update ML-Ensemble link from HTTPS to HTTP

---------

Co-authored-by: Krzysztof Joachimiak <joachimiak.krzysztof@gmail.com>

Author: jorenham

README.md

@@ -76,7 +76,7 @@
 
 ### General Purpose Machine Learning
 * [SciPy](https://scipy.org/) - Fundamental algorithms for scientific computing in Python
-* [scikit-learn](http://scikit-learn.org/stable/) - Machine learning in Python. <img height="20" src="img/sklearn_big.png" alt="sklearn">
+* [scikit-learn](https://scikit-learn.org/stable/) - Machine learning in Python. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 * [PyCaret](https://github.com/pycaret/pycaret) - An open-source, low-code machine learning library in Python.  <img height="20" src="img/R_big.png" alt="R inspired lib">
 * [Shogun](https://github.com/shogun-toolbox/shogun) - Machine learning toolbox.
 * [xLearn](https://github.com/aksnzhy/xlearn) - High Performance, Easy-to-use, and Scalable Machine Learning Package.
@@ -297,8 +297,8 @@
 ## Probabilistic Methods
 * [pyro](https://github.com/uber/pyro) - A flexible, scalable deep probabilistic programming library built on PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [PyMC](https://github.com/pymc-devs/pymc) - Bayesian Stochastic Modelling in Python.
-* [ZhuSuan](http://zhusuan.readthedocs.io/en/latest/) - Bayesian Deep Learning. <img height="20" src="img/tf_big2.png" alt="sklearn">
-* [GPflow](http://gpflow.readthedocs.io/en/latest/?badge=latest) - Gaussian processes in TensorFlow. <img height="20" src="img/tf_big2.png" alt="sklearn">
+* [ZhuSuan](https://zhusuan.readthedocs.io/en/latest/) - Bayesian Deep Learning. <img height="20" src="img/tf_big2.png" alt="sklearn">
+* [GPflow](https://gpflow.readthedocs.io/en/latest/?badge=latest) - Gaussian processes in TensorFlow. <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [InferPy](https://github.com/PGM-Lab/InferPy) - Deep Probabilistic Modelling Made Easy.  <img height="20" src="img/tf_big2.png" alt="sklearn">
 * [PyStan](https://github.com/stan-dev/pystan) - Bayesian inference using the No-U-Turn sampler (Python interface).
 * [sklearn-bayes](https://github.com/AmazaspShumik/sklearn-bayes) - Python package for Bayesian Machine Learning with scikit-learn API. <img height="20" src="img/sklearn_big.png" alt="sklearn">