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►All rights belong to their respective owners.
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From scratch implementation of Naive Bayes Classifier in Python. In the video I explain the theory briefly and focus is on the actual implementation. Specifically this is implementation of Gaussian Naive Bayes Classifier.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

In this video I show you how to to load different file formats (json, csv, tsv) in Pytorch Torchtext using Fields, TabularDataset, BucketIterator to do all the heavy preprocessing for NLP tasks, such as numericalizing, padding, building vocabulary, which saves us a lot of time to focus on actually training the models! In this example I show a toy example dataset for sentiment analysis but the things we go through are general and can be adapted for any dataset.

Resources I used to learn about torchtext:
https://torchtext.readthedocs.io/en/latest/
https://anie.me/On-Torchtext/
https://github.com/bentrevett
https://towardsdatascience.com..../how-to-use-torchtex
https://mlexplained.com/2018/0....2/08/a-comprehensive

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
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STAR WARS: THE OLD REPUBLIC Full Movie 8K 60FPS Upscaled (2022 Updated) Machine Learning AI

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🌟 DESCRIPTION🌟

Links to Source Trailers if you want to see what they originally looked liked on their own:

We got a lot of request to update the Upscaled Old Republic Movie with the new Disorder Cinematic Trailer. It already looked pretty incredible to begin with, but this is more of have a fully updated version. We hope you enjoy!

Return Cinematic Trailer - https://www.youtube.com/watch?v=mm4JEZudf0c
Hope Cinematic Trailer - https://www.youtube.com/watch?v=1ToztqqDcaY
Deceived Cinematic Trailer - https://www.youtube.com/watch?v=YdgmH9Vv2-I
Sacrifice Cinematic Trailer - https://www.youtube.com/watch?v=Nzq9epS2b1A
Betrayed Cinematic Trailer - https://www.youtube.com/watch?v=LbpDxrew4A0
Disorder Cinematic Trailer - https://www.youtube.com/watch?v=QgbMAdtp7aE

00:00 Return
06:01 Hope
11:01 Deceived
14:14 Sacrifice
18:10 Betrayed
24:05 Disorder
30:24 Return Comparison With Original
36:07 Hope Comparison With Original
41:07 Deceived Comparison With Original
44:18 Sacrifice Comparison With Original
48:16 Betrayed Comparison With Original
54:07 Disorder Comparison With Original
01:00:31 Outro

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RAKSHAKA Full Movie is now available on Kannada Filmnagar. #Rakshaka is the latest super hit Kannada Dubbed movie starring Super Star Mahesh Babu, Tamannah Bhatia, Sonu Sood and others in the lead roles. The movie is directed by Srinu Vaitla and produced by Ram Achanta, Gopichand Achanta and Anil Sunkara. The music was composed by Thaman and DOP by K. V. Guhan. For more Latest Kannada Movie News, Celebs Updates & Sandalwood Updates stay tuned to #KannadaFilmnagar - http://bit.ly/38BJpx8.

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Synopsis: Encounter ​specialist ​Shankar (Mahesh Babu) is posted to a small town called Bukkapattanam. The entire area is dominated by a ​dreaded don called Damodar (Sonu Sood),​ who runs illegal businesses by threatening the poor. Shankar decides to take ​things in his hands, and starts ​planning ​Damodar’s decline. ​Midway through, he comes to know a shocking truth about Damodar, which relates back to his family.
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With plenty of machine learning tools currently available, why would you ever choose an artificial neural network over all the rest? This clip and the next could open your eyes to their awesome capabilities! You'll get a closer look at neural nets without any of the math or code - just what they are and how they work. Soon you'll understand why they are such a powerful tool!

Deep Learning TV on
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Deep Learning is primarily about neural networks, where a network is an interconnected web of nodes and edges. Neural nets were designed to perform complex tasks, such as the task of placing objects into categories based on a few attributes. This process, known as classification, is the focus of our series.

Classification involves taking a set of objects and some data features that describe them, and placing them into categories. This is done by a classifier which takes the data features as input and assigns a value (typically between 0 and 1) to each object; this is called firing or activation; a high score means one class and a low score means another. There are many different types of classifiers such as Logistic Regression, Support Vector Machine (SVM), and Naïve Bayes. If you have used any of these tools before, which one is your favorite? Please comment.

Neural nets are highly structured networks, and have three kinds of layers - an input, an output, and so called hidden layers, which refer to any layers between the input and the output layers. Each node (also called a neuron) in the hidden and output layers has a classifier. The input neurons first receive the data features of the object. After processing the data, they send their output to the first hidden layer. The hidden layer processes this output and sends the results to the next hidden layer. This continues until the data reaches the final output layer, where the output value determines the object's classification. This entire process is known as Forward Propagation, or Forward prop. The scores at the output layer determine which class a set of inputs belongs to.

Links:
Michael Nielsen's book - http://neuralnetworksanddeeplearning.com/
Andrew Ng Machine Learning - https://www.coursera.org/learn/machine-learning
Andrew Ng Deep Learning - https://www.coursera.org/speci....alizations/deep-lear

Have you worked with neural nets before? If not, is this clear so far? Please comment.
Neural nets are sometimes called a Multilayer Perceptron or MLP. This is a little confusing since the perceptron refers to one of the original neural networks, which had limited activation capabilities. However, the term has stuck - your typical vanilla neural net is referred to as an MLP.

Before a neuron fires its output to the next neuron in the network, it must first process the input. To do so, it performs a basic calculation with the input and two other numbers, referred to as the weight and the bias. These two numbers are changed as the neural network is trained on a set of test samples. If the accuracy is low, the weight and bias numbers are tweaked slightly until the accuracy slowly improves. Once the neural network is properly trained, its accuracy can be as high as 95%.


Credits:
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

Hello and welcome to a deep learning with Python and Pytorch tutorial series, starting from the basics.

Text-based tutorials and sample code: https://pythonprogramming.net/....introduction-deep-le

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To gain the maximum amount of insight with the least amount of effort is what we try to achieve through Business Intelligence. The main aim of this tutorial on "Tableau Projects for Practice" is to help you utilize Tableau as a tool for Trend forecasting, Exploratory Data Analysis and Decision Making, not only for engagement but also comprehension efficiency.

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What is Tableau?

Tableau is one of the powerful and rapidly growing data visualization tools used in the Business Intelligence industry. It simplifies and provides a pictorial representation of raw data into an understandable format without technical and coding knowledge.

How does a beginner learn Tableau?

Tableau has become one of the most valuable technologies in demand. Edureka's Tableau eLearning Course is designed by compiling an extensive course on Tableau for beginners, which will help you learn how to build visualizations, design dashboards, and organize data to make smarter business decisions. This Tableau Certification course will prepare you for the Tableau Desktop Certified Associate exam.

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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In this Simplilearn video on Business Analyst Full Course In 2 Hours, you will look at topics like the importance of business analysts, their skills and their duties, the business analysis process, demo on business analysis with excel, and business analyst interview questions. So, let's get started with this business analyst training for beginners!
The topics covered in this business analyst full course are:
Introduction 00:00:00
Need for a Business Analyst 00:01:18
Who Is a Business Analyst 00:05:33
Business Analyst Responsibilities 00:11:50
Business Analyst Skills 00:14:01
Business Analyst Certification 00:25:06
Business Analyst Roadmap 00:30:29
Business Analysis Knowledge Areas 00:31:37
Agile Methodology 00:33:22
Scrum Methodology 00:35:01
Business Analyst Career 00:37:55
Business Analyst Tools 00:38:40
Business Analysis With Excel 00:39:08
Business Analyst vs Data Analyst 01:19:04

Dataset Link - https://drive.google.com/drive..../folders/1v4uqpSHmf5

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Who Is A Business Analyst?
A business analyst understands the business problems and identifies the solutions that will maximize the organization's value to its stakeholders. A business analyst is an individual who works closely with the technology team to improve the quality of the services being delivered. They ensure the customer needs are correctly interpreted and translated into application. They possess programming, SQL, and business intelligence skills to deliver data-driven solutions.

Post Graduate Program in Business Analysis:
Get your business analysis career started with our Post Graduate Program in Business Analysis, in partnership with Purdue University. This business analysis certification program helps you build extensive business expertise with real-world projects and prepares you for the business analyst role. This Post Graduate Program in Business Analysis will help you master business analysis techniques, Agile Scrum methodologies, SQL database, and visualization tools, including Excel, Power BI, and Tableau. You will learn about business analysis planning and monitoring, build interactive dashboards and understand the competencies of a Business Analyst.

Program Details:
Jumpstart your career as a Business Analysis Professional with this comprehensive curriculum covering the concepts of business analysis tools and techniques, statistics fundamentals, interaction with databases using SQL, and data visualization using excel, Power BI, and Tableau.

Key Features:
✅ Purdue Post Graduate Program Certification
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✅ Get noticed by the top hiring companies
✅ Case Studies from Harvard Business Publishing Education
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✅ 11+ hands-on projects
✅ Capstone project in 3 domains

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