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 udemy course free download
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
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Why we need Data Mining & Machine Learning
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What is Data Mining
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What is Machine Learning
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Traditional Programming Vs Machine Learning
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Steps to Solve a Data Mining & Machine Learning Problem
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Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement )
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Classification & Clustering
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Setting up the Environment for Machine Learning – R language and R studio, Python, Anaconda
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Introduction to Deep Learning – Guest Lecture
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Machine learning project: Car Price Prediction Project
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Kaggle – Covid 19- Classification (Chest X-ray.) – Covid-19 & Pneumonia
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Supervised Learning
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Unsupervised Learning
Requirements:
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Computer with an Internet connection
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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
Who this course is for:
- Anyone who wishes to start a career in Data Science & Machine Learning
- Last updated 7/2021
- Current Affairs Question Answers (MCQ) June 2021
- Current Affairs Question Answers (MCQ) May 2021
- Current Affairs Question Answers (MCQ) April 2021
- Current Affairs Question Answers (MCQ) March 2021
Course Details:
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5 hours on-demand video
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10 articles
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1 downloadable resource
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
Machine Learning & Data Science Bootcamp with R & Python udemy courses 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/