Tutorialspoint

April Learning Carnival is here, Use code FEST10 for an extra 10% off

Machine Learning Mastery: From Data to Advanced Classifiers

person icon Abdurrahman Tekin

4

Machine Learning Mastery: From Data to Advanced Classifiers

Mastering Machine Learning: From Data Import to Model Evaluation with Advanced Classifiers

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Abdurrahman Tekin

category icon Data Science and AI ML,Data Analysis

Lectures -31

Resources -1

Duration -2.5 hours

4

price-loader

30-days Money-Back Guarantee

Training 5 or more people ?

Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.

Course Description

Welcome to the ultimate Machine Learning course where you will embark on a transformative journey into the world of data and advanced modeling techniques. Whether you're a beginner or an experienced practitioner, this course will equip you with the essential skills to excel in the field of machine learning.


In this comprehensive course, you will start by mastering the art of data handling. Learn how to import and clean data, ensuring that your datasets are pristine and ready for analysis. Discover powerful visualization techniques to gain deep insights and unravel hidden patterns within your data. Uncover the secrets of correlation analysis through captivating heatmap visualizations that reveal the intricate relationships between variables.


Next, dive into the realm of preprocessing, where you will explore various methods to prepare your data for modeling. Discover how to handle missing values, scale features, and encode categorical variables, laying the foundation for accurate and reliable predictions.


Data splitting is a critical step in the machine learning pipeline, and this course covers it extensively. Understand the importance of dividing your data into training and testing sets, ensuring optimal model performance and generalization.


The heart of this course lies in advanced modeling techniques. You will master a diverse range of classifiers, including the powerful Support Vector Classifier (SVC), the versatile RandomForestClassifier, the gradient-boosted XGBClassifier, the intuitive KNeighborsClassifier, and the lightning-fast LGBMClassifier. Gain a deep understanding of their inner workings, learn how to fine-tune their hyperparameters, and witness their performance on real-world datasets.


To evaluate the effectiveness of your models, we delve into the Receiver Operator Characteristic (ROC) curve analysis. Discover how to interpret this essential evaluation metric and make informed decisions about model performance.


Throughout the course, you will work on hands-on projects, applying your knowledge to real-world datasets and honing your skills. Access to practical exercises and comprehensive resources will provide you with ample opportunities to reinforce your learning and solidify your understanding.


By the end of this course, you will possess the expertise and confidence to tackle machine learning challenges head-on. Join us now and unlock the potential of machine learning to revolutionize your career and make a lasting impact in the world of data-driven insights.


Enroll today and embark on your journey to becoming a Machine Learning master!

Goals

What will you learn in this course:

  1. Importing and preparing data for analysis.
  2. Cleaning and preprocessing techniques for data integrity.
  3. Effective data visualization methods.
  4. Understanding and utilizing correlation heatmaps.
  5. Preprocessing steps for feature scaling and handling categorical variables.
  6. Proper data splitting for training and testing.
  7. Implementation of machine learning models: Support Vector Classifier (SVC), RandomForestClassifier, XGBClassifier, KNeighborsClassifier, LGBMClassifier
  8. Evaluation using Receiver Operator Characteristic (ROC) curve.

Prerequisites

What are the prerequisites for this course?

  1. Basic understanding of programming concepts and Python programming language.
  2. Familiarity with data manipulation using libraries such as Pandas and NumPy.
Machine Learning Mastery: From Data to Advanced Classifiers

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
2 Lectures
  • play icon Introduction 02:01 02:01
  • play icon Installing Jupyter 02:16 02:16
Course Contents
29 Lectures
Tutorialspoint

Instructor Details

Abdurrahman Tekin

Abdurrahman Tekin

e


Course Certificate

Use your certificate to make a career change or to advance in your current career.

sample Tutorialspoint certificate

Our students work
with the Best

Related Video Courses

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
Annual Membership

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
Online Certifications

Talk to us

1800-202-0515