Machine Learning using R and Python

Machine Learning using R Programming and Python Programming

3.69 (18 reviews)
Udemy
platform
English
language
Data Science
category
Machine Learning using R and Python
149
students
69.5 hours
content
Mar 2019
last update
$44.99
regular price

What you will learn

This course has been prepared for professionals aspiring to learn the basics of R and Python to develop applications involving machine learning techniques such as recommendation, classification, and clustering. Through this course, you will learn to solve data-driven problems and implement your solutions using the powerful yet simple programming language R and Python with its packages. After completing this course, you will gain a broad picture of the machine learning environment and the best practices for machine learning techniques.

Why take this course?

🎓 Course Title: Machine Learning using R and Python

🚀 Course Headline: Dive into Data Mastery with Machine Learning using R Programming and Python Programming!


Introduction: Are you ready to unlock the potential of machine learning and harness the power of R and Python for your data-driven projects? Whether you're a beginner or looking to refine your skills, Machine Learning using R and Python is the course that will elevate your expertise. This comprehensive online course is meticulously designed for professionals who aspire to learn the basics of both R and Python and apply machine learning techniques like recommendation systems, classification, regression, and clustering to solve real-world problems.

What You'll Learn:

  • The Basics of R & Python: Grip the fundamentals of R and Python programming languages and understand their syntax and structure. 🧐

  • Machine Learning Techniques: Explore various machine learning techniques, including classification, regression, clustering, and recommendation algorithms. 🤖

  • Data Analysis & Preparation: Master data preprocessing, visualization, and analysis using R and Python's powerful libraries and tools. 📊

  • Real-World Application: Apply your knowledge to actual case studies, enabling you to understand the practical challenges and solutions in machine learning. 🌍

  • Best Practices: Learn about the best practices for implementing machine learning models and how to interpret their results. ✅

Course Outline:

  1. Getting Started with R & Python:

    • Understanding the R and Python environments.
    • Setting up your development environment for R and Python.
  2. Data Manipulation and Cleaning:

    • Techniques for data cleaning, transformation, and preparation.
    • Using dplyr and pandas for efficient data manipulation.
  3. Data Exploration & Visualization:

    • Data visualization using ggplot2 and seaborn.
    • Understanding data distributions, correlations, and exploratory data analysis (EDA).
  4. Machine Learning Fundamentals:

    • Introduction to machine learning concepts and terminologies.
    • Understanding supervised vs unsupervised learning.
  5. Classification & Regression:

    • Implementing logistic regression, decision trees, random forests, and support vector machines (SVM).
    • Building linear regression models and time series forecasting.
  6. Clustering Techniques:

    • K-means clustering and hierarchical clustering.
    • Applying clustering for market basket analysis and customer segmentation.
  7. Recommendation Systems:

    • Matrix factorization techniques like singular value decomposition (SVD).
    • Building recommendation systems using collaborative filtering.
  8. Model Evaluation & Tuning:

    • Cross-validation, model evaluation metrics, and hyperparameter tuning.
    • Understanding overfitting and model complexity.
  9. Capstone Project:

    • A hands-on project where you'll apply all the concepts learned to a real-world dataset.
    • Presenting your machine learning solution and receiving peer and instructor feedback.

Who is this course for?

  • Data Scientists
  • Machine Learning Engineers
  • Analysts and Data Analysts
  • Business Intelligence Professionals
  • Any curious enthusiast interested in machine learning with R and Python!

Why take this course? This course is your stepping stone to becoming proficient in machine learning using two of the most sought-after programming languages. You'll gain a broad picture of the machine learning landscape, understand best practices for implementation, and be ready to tackle data-driven problems with confidence. Enroll now and transform your career! 🌟

Instructor: DATAhill Solutions Srinivas Reddy, a seasoned expert in data science and machine learning, will guide you through this course with real-world examples and insights drawn from years of industry experience. With Srinivas's mentorship, you're in the best hands to master machine learning with R and Python. 🤓

Join us on this transformative journey into the world of Machine Learning using R and Python. Sign up today and future-proof your career! 🚀

Screenshots

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2279250
udemy ID
19/03/2019
course created date
23/11/2019
course indexed date
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