================================================
Source code: https://github.com/maksimKorzh/ml-tut...
================================================
================================================
VICI - Minimalist cross-platform terminal based text editor
================================================
https://github.com/maksimKorzh/vici
=====================
SUPPORT THE CHANNEL
=====================
Patreon: / code_monkey_king
PayPal: maksymkorzh@gmail.com
==========
CONTENTS
==========
00:00 Intro
00:50 Exploring dataset
02:14 Coding starts here
02:30 Importing required packages
04:35 Creating virtual environment
05:15 Installing required modules
06:18 Loading data from CSV
06:56 Categorical features explained
07:45 When regression problem turns into classification problem
08:55 Dealing with random noise spoiling the model
09:15 How feature engineering is going to be accomplished
10:04 Preparing dataset
10:30 Extracting programming languages from title
15:15 Adding programming language feature to dataset
17:00 Extracting video topic from title
21:25 Adding video topic feature to dataset
23:23 Using views as a model prediction target
24:25 Adding prediction target to dataset
25:20 Converting Y/M/W to days
27:55 Adding days to dataset
29:18 Filtering dataset
30:50 Inspecting filtered dataset
33:00 Splitting data into input features and target variable
35:05 Splitting data into training and testing sets
37:15 Applying Decision Tree Classifier algorithm to train the model
38:50 Making predictions and measuring model accuracy
39:37 TESTING MODEL
40:12 Improving model accuracy by adding extra feature
44:17 Writing a script to use an existing model to make predictions
45:20 Loading pre-trained model
46:40 Creating data frame to encode user input to
47:15 Encoding features
52:13 Estimating when this video is going to get 1000 views
54:20 How did I obtain the dataset
Auf dieser Seite können Sie das Online-Video Estimating when a video gets 1K views using Python & Scikit learn mit der Dauer stunde minuten sekunde in guter Qualität ansehen, das der Benutzer Data Engineering 04 September 2023 hochgeladen hat, den Link mit Freunden und Bekannten teilen, dieses Video wurde auf Youtube bereits 201 Mal angesehen und es wurde von 8 den Zuschauern gefallen. Viel Spaß beim Betrachtenden Zuschauern gefallen!