This is a list of available resources of all the Machine Learning materials, which will help someone understand Machine Learning and it's concepts thoroughly.
[#] Syllabus of Machine Learning to be covered: https://en.wikipedia.org/wiki/Outline_of_machine_learning
[1] Dimensionality Reduction: https://elitedatascience.com/dimensionality-reduction-algorithms
t-SNE:
[A] http://distill.pub/2016/misread-tsne/
[B]https://www.analyticsvidhya.com/blog/2017/01/t-sne-implementation-r-python/
[2] Machine Learning Algorithms:
[A] Support Vector Machine: MIT OpenCourseware on Support Vector Machine
What are Kernels? https://www.quora.com/What-are-Kernels-in-Machine-Learning-and-SVM
Scikit-Learn Package
[3] Ensemble Methods: https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/springerEBR09.pdf
[4] Model Evaluation Metrics: https://www.kaggle.com/wiki/Metrics