Machine Learning & Data Science Bootcamp with R & Python

Machine Learning & Data Science Bootcamp with R & Python, available at $44.99, has an average rating of 4.7, with 34 lectures, based on 45 reviews, and has 269 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone who wish to start the career in Data Science & Machine Learning It is particularly useful for Anyone who wish to start the career in Data Science & Machine Learning.

Enroll now: Machine Learning & Data Science Bootcamp with R & Python

Summary

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

Price: $44.99

Average Rating: 4.7

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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 Curriculum

Chapter 1: Introduction

Lecture 1: Why we need Data Mining & Machine Learning

Lecture 2: What is Data Mining

Lecture 3: What is Machine Learning

Lecture 4: Traditional Programming Vs Machine Learning

Lecture 5: Steps to Solve a Data Mining & Machine Learning Problem

Lecture 6: Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement )

Lecture 7: Classification : Definition

Lecture 8: Clustering : Definition

Chapter 2: Setting up the Environment for Machine Learning – R language and R studio

Lecture 1: Installing R and R studio

Lecture 2: R Programming Basics – Comprehensive Tutorial

Chapter 3: Setting up the Environment for Machine Learning – Python & Anaconda

Lecture 1: Installing Python and Pycharm IDE

Lecture 2: Setting up the Environment : Anaconda

Chapter 4: Machine Learning – Supervised Learning

Lecture 1: Univariate Linear regression Part 1

Lecture 2: Univariate Linear regression Part 2

Lecture 3: Multivariate Linear Regression

Lecture 4: Logistic regression

Lecture 5: Naive Bayes Classifier

Lecture 6: Trees

Lecture 7: Support Vector Machines – Hands – On with Google Colabs

Lecture 8: Decision Trees – Hands – On with Google Collabs

Lecture 9: Random Forest – Hands – On with Google Collabs

Chapter 5: Machine Learning – Unsupervised Learning – Clustering

Lecture 1: Clustering : Lecture Part 1

Lecture 2: Similarity/Dissimilarity Between Objects

Lecture 3: What is clustering in Machine Learning

Lecture 4: K – Means Clustering

Lecture 5: K-Means clustering – Code walkthrough with Theory & Practical

Chapter 6: Implementing a ANN with R programming / R Studio

Lecture 1: Implementing a ANN with R programming / R Studio

Chapter 7: Convolutional Neural Networks – CNN

Lecture 1: How to Develop a CNN From Scratch for CIFAR-10 Photo Classification

Chapter 8: Data Science & Machine Learning Resources

Lecture 1: CVPR 2021 Workshop on Event-based Vision

Chapter 9: MIT Introduction to Deep Learning – Guest Lecture – Online

Lecture 1: Introduction to Deep Learning

Chapter 10: Machine learning project : Car Price Prediction Project

Lecture 1: Machine learning project : Car Price Prediction Project

Chapter 11: Kaggle – Covid 19- Classification (Chest X-ray.) – Covid-19 & Pneumonia

Lecture 1: Demo – [without voice]

Lecture 2: Demonstration with Step by step Guidance [With voice]

Lecture 3: Source code

Instructors

Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 5 votes
4 stars: 7 votes
5 stars: 31 votes

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