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Classification Analysis

Learn Data Preprocessing, Logistic regression, KNN K-Nearest Neighbors, Random forest, Naive Bayes and more.

What you'll learn

  • What is classification analysis & why we need it.

  • Various type of classification techniques

  • You will be able to understand inputs and output for your model.

  • How to implement various ML Classification techniques in python

  • You are able to build the model to predict categorical data.

  • You are able to analyze the performance of model

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₹ 12, 000

This course includes

  • 1 week -Duration

  • Online Training

  • Direct 1-on-1 sessions

  • Certificate of Completion

Enroll Now

Course Content

Introduction to classification analysis

  • Brief introduction of classification analysis

Data Preprocessing

  • Import library

  • import data/Read data

  • Data cleaning

  • Data integration

  • Data transformation

  • Split data

  • Feature scaling

Logistic regression

  • Introduction to logistic regression

  • Implementation logistic regression in python

KNN K-Nearest Neighbors

  • Introduction to K-Nearest Neighbors

  • Implementation K-Nearest Neighbors in python

Random forest classification

  • Introduction to Random forest classification

  • Implementation Random forest classification in python

Decision tree classification

  • Introduction to Random forest classification

  • Implementation Random forest classification in python

Naive Bayes Classifier

  • Introduction to Naive Bayes classification

  • Implementation Naive Bayes classification in python

Support vector machine

  • Introduction to Support vector machine

  • Implementation Support vector machine (SVM) in python

Hierarchical Clustering

  • Introduction to Kernel SVM

  • Implementation Kernel SVM in python

Understanding evaluation Classification
Model Performance

  • Accuracy

  • Confusion matrix

  • Precision, recall

  • ROC curve etc.

Requirements

  • Basic knowledge of Python programming language

Description

Are you willing to learn Classification analysis by live sessions?
If so, you are at right place. Here we talk about an online course that I created on Codersarts platform that covers all the basics of Classification analysis. In this course you will learn What is classification analysis & why we need it., Various type of classification techniques, You will be able to understand inputs and output for your model. How to implement various ML Classification techniques in python, You are able to build the model to predict categorical data, You are able to analyze the performance of model and more.

This course is different from other training resources. Each lecture seeks to enhance your Regression modeling and Machine Learning skills in a demonstrable and easy-to-follow manner and provide you with practically implementable solutions. You’ll be able to start analyzing different streams of data for your projects and gain
appreciation from your future employers with your improved machine learning skills and knowledge of cutting edge data science methods.

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