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

Machine Learning & Data Science Bootcamp with  R  & Python
Machine Learning & Data Science Bootcamp with R & Python

Machine Learning & Data Science Bootcamp with R & Python udemy course

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

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:

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


Who this course is for:

Course Details:

  • 5 hours on-demand video
  • 10 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Machine Learning & Data Science Bootcamp with R & Python udemy free download

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

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