MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .VTT | Duration: 3.5 hour | Size: 1.50 GB

Complete course covering fundamentals of Machine learning , Deep learning with Python code

What you'll learn

Machine Learning

Requirements

Basic Python

Description

Let me begin by telling secrets of mastery of machine learning

A journey of thousand miles begins with first step. You always wanted to learn machine learning but many factors stopped you - fear of Maths , Statistics , the complexity of subject. Today is the day to break away from those fears.

Enrol in the machine learning course and see for yourself that mastering machine learning can be simplified. Following are topics the course covers. The course uses Google Python notebooks. You see the code results immediately.

Fundamentals of machine learning - Cost Functions, Labelled and Unlabelled data, Feature weights, Training and Testing Cross Validation.

Feature Engineering.

Linear Regression

Classification - Concepts about True Positive, True Negative, Sensitivity, Specificity, Precision, ROC, AUC, Confusion Matrix

KNN - Algorithm

OverFitting and UnderFitting

Regularization

Decision Trees - Entropy, Information Gain

Bagging and Boosting

Deep Learning - Weights, Bias, Epochs, Gradient Descent,Batch, Stochastic Gradient Descent , Mini Batch

Who this course is for:

People interested about data science