Machine Learning in Python with 5 Machine Learning Projects is a Python machine learning training boot camp in which you will build 5 real world machine learning projects using Python. This step-by-step course introduces you to the world of machine learning. Machine learning is the science of computer algorithms used to automate model analysis and is also a branch of artificial intelligence.
What you will learn in Machine Learning in Python with 5 Machine Learning Projects:
Theoretical discussion and practical implementation of linear regression using sklearn
Theoretical discussion and practical implementation of logical regression using sklearn
Characterization using RFECV
Data transfer using linear and logistic regression
Evaluation criteria for analyzing the performance of models
Industrial relationship of linear and logistic regression
Mathematical discussion of KNN, SVM and Naive Bayes algorithms
Using KNN, SVM and Naive Bayes using sklearn
Feature selection methods – Gini Index and Entropy
Mathematics behind Decision trees and random forest
Boost algorithms with Adaboost, Gradient Boosting and XgBoost
Types of algorithms for categorization
Different methods for working with unbalanced data
Refinement of relationships and variables
PCA and LDA
Various algorithms used for Time Series forecasting
