| 001 CVPR 2021 Workshop on Event-based Vision.html | 1.2 KB | ||
| 001 Clustering _ Lecture Part 1.en.srt | 10.3 KB | ||
| 001 Clustering _ Lecture Part 1.mp4 | 89.4 MB | ||
| 001 Demo - [without voice].mp4 | 428.3 MB | ||
| 001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.en.srt | 30.5 KB | ||
| 001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.mp4 | 395.9 MB | ||
| 001 Implementing a ANN with R programming _ R Studio.en.srt | 11.5 KB | ||
| 001 Implementing a ANN with R programming _ R Studio.mp4 | 120.9 MB | ||
| 001 Installing Python and Pycharm IDE.en.srt | 5.8 KB | ||
| 001 Installing Python and Pycharm IDE.mp4 | 47.1 MB | ||
| 001 Installing R and R studio.en.srt | 5.1 KB | ||
| 001 Installing R and R studio.mp4 | 75.9 MB | ||
| 001 Introduction to Deep Learning.html | 1.1 KB | ||
| 001 Machine learning project _ Car Price Prediction Project.html | 1 KB | ||
| 001 Univariate Linear regression Part 1.en.srt | 12.6 KB | ||
| 001 Univariate Linear regression Part 1.mp4 | 134.5 MB | ||
| 001 Why we need Data Mining & Machine Learning.en.srt | 4.8 KB | ||
| 001 Why we need Data Mining & Machine Learning.mp4 | 43.2 MB | ||
| 002 Demonstration with Step by step Guidance [With voice].en.srt | 14.2 KB | ||
| 002 Demonstration with Step by step Guidance [With voice].mp4 | 135.3 MB | ||
| 002 R Programming Basics - Comprehensive Tutorial.html | 2 KB | ||
| 002 Setting up the Environment _ Anaconda.en.srt | 3.7 KB | ||
| 002 Setting up the Environment _ Anaconda.mp4 | 36.3 MB | ||
| 002 Similarity_Dissimilarity Between Objects.en.srt | 3.3 KB | ||
| 002 Similarity_Dissimilarity Between Objects.mp4 | 25.7 MB | ||
| 002 Univariate Linear regression Part 2.en.srt | 28.3 KB | ||
| 002 Univariate Linear regression Part 2.mp4 | 284.7 MB | ||
| 002 What is Data Mining.en.srt | 4.1 KB | ||
| 002 What is Data Mining.mp4 | 23.7 MB | ||
| 003 Multivariate Linear Regression.en.srt | 18.5 KB | ||
| 003 Multivariate Linear Regression.mp4 | 211.8 MB | ||
| 003 Source code.html | 1.6 KB | ||
| 003 What is Machine Learning.en.srt | 10.8 KB | ||
| 003 What is Machine Learning.mp4 | 80.8 MB | ||
| 003 What is clustering in Machine Learning.en.srt | 6 KB | ||
| 003 What is clustering in Machine Learning.mp4 | 69.6 MB | ||
| 004 K - Means Clustering.html | 921.6 B | ||
| 004 Logistic regression.en.srt | 10 KB | ||
| 004 Logistic regression.mp4 | 149.8 MB | ||
| 004 Traditional Programming Vs Machine Learning.en.srt | 4.6 KB | ||
| 004 Traditional Programming Vs Machine Learning.mp4 | 28.4 MB | ||
| 005 K-Means clustering - Code walkthrough with Theory & Practical.en.srt | 13.4 KB | ||
| 005 K-Means clustering - Code walkthrough with Theory & Practical.mp4 | 150 MB | ||
| 005 Naive Bayes Classifier.en.srt | 13.2 KB | ||
| 005 Naive Bayes Classifier.mp4 | 124.5 MB | ||
| 005 Steps to Solve a Data Mining & Machine Learning Problem.en.srt | 7.9 KB | ||
| 005 Steps to Solve a Data Mining & Machine Learning Problem.mp4 | 46.1 MB | ||
| 006 Trees.html | 1 KB | ||
| 006 Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement ).en.srt | 4.8 KB | ||
| 006 Types of Learning in Machine learning (Supervised, Unsupervised, Reinforcement ).mp4 | 29.7 MB | ||
| 007 Classification _ Definition.en.srt | 11.6 KB | ||
| 007 Classification _ Definition.mp4 | 84.5 MB | ||
| 007 Support Vector Machines - Hands - On with Google Colabs.html | 1 KB | ||
| 008 Clustering _ Definition.en.srt | 5.7 KB | ||
| 008 Clustering _ Definition.mp4 | 37.1 MB | ||
| 008 Decision Trees - Hands - On with Google Collabs.html | 921.6 B | ||
| 009 Random Forest - Hands - On with Google Collabs.html | 921.6 B | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| _covidCode.ipynb | 716.8 B | ||
| covidCode.ipynb | 2.7 MB | ||
| external-assets-links.txt | 102.4 B | ||
| ▲ 62 total files | |||
Machine Learning & Data Science Bootcamp with R & Python (07/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 34 lectures (5h 7m) | Size: 2.44 GB
Learn R, Python, Machine Learning, Deep Learning, Google Colab, Real world projects with Code and step by step guidance
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
Requirements
Computer with Internet connection
Python or any programming language
Description
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.
If You Need More Courses, kindly Visit and Support Us -->> https://FreeCourseWeb.com
Thank You.
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