A guide to learn Machine Learning and Deep Learning

Firstly, start with learning statistics including mean, standard deviation, variance and other terms.
After this start with learning the following topics,

1. Linear Regression (Learn about p-value, t-statistics, ANOVA)
2. Logistic Regression
3. Support Vector Machine (Kernel)
4. Principal Component Analysis (PCA)
5. Neural Networks (Backpropogation)
6. Convolutional Neural Network
7. K-Nearest Neighbor
8. K-Means Clustering
9. Agglomerative Clustering

These are the topics that are important to gain knowledge in Machine Learning.