Machine Learning & Data Science Bootcamp with R & Python
- Description
- Curriculum
- FAQ
- Reviews
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
-
1Why we need Data Mining & Machine LearningVideo lesson
-
2What is Data MiningVideo lesson
-
3What is Machine LearningVideo lesson
-
4Traditional Programming Vs Machine LearningVideo lesson
-
5Steps to Solve a Data Mining & Machine Learning ProblemVideo lesson
-
6Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement )Video lesson
-
7Classification : DefinitionVideo lesson
-
8Clustering : DefinitionVideo lesson
-
9Installing R and R studioVideo lesson
-
10R Programming Basics - Comprehensive TutorialText lesson
1) R tutorial - The True Basics of R. -
https://www.youtube.com/watch?v=SWxoJqTqo08&list=PLjgj6kdf_snYBkIsWQYcYtUZiDpam7ygg
2) R tutorial: The basic data types in R : R tutorial: The basic data types in R :
https://www.youtube.com/watch?v=hxlHQ2AtLUk&list=PLjgj6kdf_snYBkIsWQYcYtUZiDpam7ygg&index=3
3) R tutorial - How to Create and Name Vectors in R
https://www.youtube.com/watch?v=w5dOALbZ9HE&list=PLjgj6kdf_snYBkIsWQYcYtUZiDpam7ygg&index=3
-
13Univariate Linear regression Part 1Video lesson
-
14Univariate Linear regression Part 2Video lesson
-
15Multivariate Linear RegressionVideo lesson
-
16Logistic regressionVideo lesson
-
17Naive Bayes ClassifierVideo lesson
-
18TreesText lesson
-
19Support Vector Machines - Hands - On with Google ColabsText lesson
-
20Decision Trees - Hands - On with Google CollabsText lesson
-
21Random Forest - Hands - On with Google CollabsText lesson

External Links May Contain Affiliate Links read more