Udemy

Machine Learning & Data Science Bootcamp with R & Python

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  • 1,358 Students
  • Updated 7/2021
4.2
(47 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 7 Minute(s)
Language
English
Taught by
Academy of Computing & Artificial Intelligence
Rating
4.2
(47 Ratings)
2 views

Course Overview

Machine Learning & Data Science Bootcamp with  R  & Python

Learn R, Python, Machine Learning, Deep Learning, Google Colab, Real world projects with Code and step by step guidance

Academy of Computing & Artificial Intelligence proudly present you the course "Data Engineering with Python". It all started when the expert team of Academy of Computing & Artificial Intelligence (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2021.

At the end of the Course you will be able to start your career in Data Mining & Machine Learning.

1) Introduction to Machine Learning - [A -Z] Comprehensive Training with Step by step guidance

2) Setting up the Environment for Machine Learning - Step by step guidance  [R Programming & Python]

3) Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines (SVM), Random Forest)

4) Unsupervised Learning

5) Convolutional Neural Networks - CNN

6) Artificial Neural Networks

7) Real World Projects with Source



Course Learning Outcomes

To provide awareness of  (Supervised & Unsupervised learning) coming under Machine Learning (Why we need Data Mining & Machine Learning, What is Data Mining, What is Machine Learning, Traditional Programming Vs Machine Learning, Steps to Solve a Data Mining & Machine Learning Problem, Classification , Clustering)

Describe intelligent problem-solving methods via appropriate usage of Machine Learning techniques.

To build appropriate neural models from using state-of-the-art python framework.

To setup the Environment for Machine Learning - Step by step guidance  [R Programming & Python]

Convolutional Neural Networks - CNN

Resources from MIT and many famous Universities

Projects with Source


Course Content

  • 10 section(s)
  • 34 lecture(s)
  • Section 1 Introduction
  • Section 2 Setting up the Environment for Machine Learning - R language and R studio
  • Section 3 Setting up the Environment for Machine Learning - Python & Anaconda
  • Section 4 Machine Learning - Supervised Learning
  • Section 5 Machine Learning - Unsupervised Learning - Clustering
  • Section 6 Implementing a ANN with R programming / R Studio
  • Section 7 Convolutional Neural Networks - CNN
  • Section 8 Data Science & Machine Learning Resources
  • Section 9 MIT Introduction to Deep Learning - Guest Lecture - Online
  • Section 10 Machine learning project : Car Price Prediction Project

What You’ll Learn

  • Why we need Data Mining & Machine Learning
  • What is Data Mining
  • What is Machine Learning
  • Traditional Programming Vs Machine Learning
  • Steps to Solve a Data Mining & Machine Learning Problem
  • Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement )
  • Classification & Clustering
  • Setting up the Environment for Machine Learning - R language and R studio , Python, Anaconda
  • Introduction to Deep Learning - Guest Lecture
  • Machine learning project : Car Price Prediction Project
  • Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia
  • Supervised Learning
  • Unsupervised Learning


Reviews

  • O
    Oshan Perera
    4.5

    I have a much better understanding about Machine Learning now. And got to practice more with R and Python. Thank You

  • G
    Gayani Peshala Karunaratne
    5.0

    Excellent

  • A
    Ayeshmantha Wijegunathileke
    5.0

    This is a great course to grasp the fundamentals of Machine Learning and Data Science.

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