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

What you’ll learn

Machine Learning & Data Science Bootcamp with R & Python

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 an Internet connection
Python or any programming language

Description

Academy of Computing & Artificial Intelligence proudly presents you with the course “Data Engineering with Python”. It all started when the expert team of the 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 using a state-of-the-art python framework.

To set up 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