Development

Machine Learning & Data Science Bootcamp with R & Python

The course contains R, Python, Machine Learning, Deep Learning, and Google Colab, as well as step-by-step instructions and code examples.

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

Requirements

  • Computer with Internet connection
  • Python or any programming language

Description

The Academy of Computing & Artificial Intelligence is proud to present the Machine Learning & Data Science Bootcamp with R & Python course “Data Engineering with Python”. A team of experts from the Academy of Computing and Artificial Intelligence (PhD students, PhD candidates, professors, consultants, and researchers) and industry experts developed the scheme. A discussion between hiring managers took place about the most highly-paid jobs & skills in the information technology/computer engineering/data science sector in 2021.

At the end of the Machine Learning & Data Science Bootcamp with R & Python course, you will have the capability to enter the field of Data Mining and Machine Learning.

Trending Now:   Modern React with Redux [2020 Update]

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

The Machine Learning & Data Science Bootcamp with R & Python Course Learning Outcomes

In order to provide awareness of (Supervised & Unsupervised learning) coming under Machine Learning (Why we need Data Mining and Machine Learning, What is Data Mining and Machine Learning, How to Solve a Data Mining and Machine Learning Problem, Classification & Clustering),

Implement intelligent problem-solving techniques through the application of machine learning.

Developing appropriate neural models based on a modern Python framework is required.

Step-by-step instructions for setting up an Environment for Machine Learning [R Programming & Python]

Convolutional Neural Networks – CNN

Resources from MIT and many famous Universities

Projects with Source

Who this course is for:

  • Anyone who wish to start the career in Data Science & Machine Learning

Created by Academy of Computing & Artificial Intelligence
Last updated 7/2021
English
Size: 2.8 GB

Download Course
https://www.udemy.com/course/machine-learning-data-science-bootcamp-with-r-python/

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Courses

Back to top button

JOIN US ON TELEGRAM

Join our telegram channel and be the first to know when we post/update courses and also when we share awesome deals & freebies.