Machine Learning

Изучите все основные и продвинутые концепции машинного обучения

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Machine learning is a subset of artificial intelligence (ai) that predicate the feature depending upon past experience. Machine-learning uses a statistical model that a computer uses to effectively perform a specific task without using explicit programming.

【Topics Covered Listed Below】

Machine Learning Tutorial

Machine Learning Applications

The life cycle of Machine Learning

Install Anaconda & Python

AI vs Machine Learning

How to Get Datasets

Data Preprocessing

Supervised Machine Learning

Unsupervised Machine Learning

Supervised vs Unsupervised Learning

Regression Analysis

Linear Regression

Simple Linear Regression

Multiple Linear Regression

Backward Elimination

Polynomial Regression

Classification Algorithm

Logistic Regression

K-NN Algorithm

Support Vector Machine Algorithm

Naïve Bayes Classifier

Classification vs Regression

Linear Regression vs Logistic Regression

Decision Tree Classification Algorithm

Random Forest Algorithm

Clustering in Machine Learning

Hierarchical Clustering in Machine Learning

K-Means Clustering Algorithm

Apriori Algorithm in Machine Learning

Association Rule Learning

Confusion Matrix

Cross-Validation

Data Science vs Machine Learning

Machine Learning vs Deep Learning

Dimensionality Reduction Technique

Machine Learning Algorithms

Overfitting & Underfitting

Principal Component Analysis

What is P-Value

Regularization in Machine Learning

Interview Questions