Free Download Support Vector Machine A-Z: Support Vector Machine Python ©, with this course you will have the option to SVM using Scikit-Learn, SVM using NumPy, Implementing of Support Vector Machine or SVM on different datasets. It contains 71 recordings. Remember that numerous understudies are tried out this course Support Vector Machine A-Z: Support Vector Machine Python ©, so don't hold on to download it presently, it's totally free. You can start learning Support Vector Machine A-Z: Support Vector Machine Python © by clicking the download link below.
Before you can start learning from this course explained in English (US) you need to have No prior knowledge or experience needed Only a passion to be successful!.
Support Vector Machine A-Z: Support Vector Machine Python © is targeting for people that have interset in This course if for someone who is curious to learn the maths behind SVM since this course also contains an optional part for mathematics as well, This course is for someone who want to learn Logistic regression from zero to hero, This course is for someone who is absolute beginner and have very little idea of machine learning.
Finally you will learn how to Learn the basics of Machine Learning, Learn basics of Discriminative Learning, Learn basics of Linear Discriminants, Learn basics of Support Vector Machine (SVM), Learn basics of sparsity of SVM and comparison with logistic regression, Learn Data Normalization/scaling using python, Learn Data Visualization using python, Learn removing/replacing missing values in data using python, Learn to use Pandas for Data Analysis, Use SciKit-Learn for SVM using titanic data set, Learn how to implement SVM on any data set Learn the maths behind SVM (Optional).