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


Machine Learning & Data Science Bootcamp with R & Python | Udemy
English | Size: 2.79 GB
Genre: eLearning

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

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

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