_how-to-duplicate-the-selected-file-on-a-mac-computer-basic-tutorial-124-new.jpg "How to DUPLICATE the Selected File On a Mac Computer - Basic Tutorial | New from basic mp3 song Video Screenshot Preview")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
⏲ Duration: 1:24
👁 View: 10K times
✓ Published: 28-Jun-2024
👁 View: 10K times
✓ Published: 28-Jun-2024
Description:
How to Duplicate the Selected File On a Mac Computer - Basic Tutorial | New #KeyboardShortcuts #Commands #ComputerScienceVideos<br/><br/>Social Media:<br/>--------------------------------<br/>Twitter: https://twitter.com/ComputerVideos<br/>Instagram: https://www.instagram.com/computer.science.videos/<br/>YouTube: https://www.youtube.com/c/ComputerScienceVideos<br/><br/>CSV GitHub: https://github.com/ComputerScienceVideos<br/>Personal GitHub: https://github.com/RehanAbdullah<br/>--------------------------------<br/>Contact via e-mail<br/>--------------------------------<br/>Business E-Mail: ComputerScienceVideosBusiness@gmail.com<br/>Personal E-Mail: rehan2209@gmail.com<br/><br/>Support us on PayPal: https://www.paypal.com/paypalme/ComputerScienceVideo<br/><br/>© Computer Science Videos 2021
How to Duplicate the Selected File On a Mac Computer - Basic Tutorial | New #KeyboardShortcuts #Commands #ComputerScienceVideos<br/><br/>Social Media:<br/>--------------------------------<br/>Twitter: https://twitter.com/ComputerVideos<br/>Instagram: https://www.instagram.com/computer.science.videos/<br/>YouTube: https://www.youtube.com/c/ComputerScienceVideos<br/><br/>CSV GitHub: https://github.com/ComputerScienceVideos<br/>Personal GitHub: https://github.com/RehanAbdullah<br/>--------------------------------<br/>Contact via e-mail<br/>--------------------------------<br/>Business E-Mail: ComputerScienceVideosBusiness@gmail.com<br/>Personal E-Mail: rehan2209@gmail.com<br/><br/>Support us on PayPal: https://www.paypal.com/paypalme/ComputerScienceVideo<br/><br/>© Computer Science Videos 2021
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_cinematic-hero-royalty-free-music.webp "Get 100's of FREE Video Templates, Music, Footage and More at Motion Array: https://www.bit.ly/2UymF81nGet this here: https://motionarray.com/stock-music/cinematic-hero-101204nnCINEMATIC HERO (4 VERSIONS) n----------------------------nn Cinematic hero - it's a heroic, brave and triumphant song with the basic horn melody. Epic mood give powerful percussion, strings and bright massive wind instruments. This track is explosive in nature! The archive includes another 3 additional versions, inc")
![Deploying Machine Learning Models: A Step-by-Step Tutorial<br/><br/>Model deployment is the critical phase where trained machine learning models are integrated into practical applications. This process involves setting up the necessary environment, defining how input data is fed into the model, managing the output, and ensuring the model can analyze new data to provide accurate predictions or classifications. Let’s explore the step-by-step process of deploying machine learning models in production.<br/>Step 1: Data Preprocessing<br/>Effective data preprocessing is crucial for the success of any machine learning model. This step involves handling missing values, encoding categorical variables, and normalizing or standardizing numerical features. Here’s how you can achieve this using Python:<br/>Handling Missing Values<br/>Missing values can be dealt with by either imputing them using strategies like mean values or by deleting the rows/columns with missing data.<br/>python<br/>Copy code<br/>import pandas as pd<br/>from sklearn.impute import SimpleImputer<br/><br/># Load your data<br/>df = pd.read_csv('your_data.csv')<br/><br/># Handle missing values<br/>imputer_mean = SimpleImputer(strategy='mean')<br/>df['numeric_column'] = imputer_mean.fit_transform(df[['numeric_column']])<br/>Encoding Categorical Variables<br/>Categorical variables need to be transformed from qualitative data to quantitative data. This can be done using One-Hot Encoding or Label Encoding.<br/>python<br/>Copy code<br/>from sklearn.preprocessing import OneHotEncoder<br/><br/># Encode categorical variables<br/>one_hot_encoder = OneHotEncoder()<br/>encoded_features = one_hot_encoder.fit_transform(df[['categorical_column']]).toarray()<br/>encoded_df = pd.DataFrame(encoded_features, columns=one_hot_encoder.get_feature_names_out(['categorical_column']))<br/>Normalizing and Standardizing Numerical Features<br/>Normalization and standardization transform numerical features to a common scale, which helps in improving the performance and stability of the machine learning model.<br/>Standardization (zero mean, unit variance)<br/>python<br/>Copy code<br/>from sklearn.preprocessing import StandardScaler<br/><br/># Standardization<br/>scaler = StandardScaler()<br/>df['standardized_column'] = scaler.fit_transform(df[['numeric_column']])<br/>Normalization (scaling to a range of [0, 1])<br/>python<br/>Copy code<br/>from sklearn.preprocessing import MinMaxScaler<br/><br/># Normalization<br/>normalizer = MinMaxScaler()<br/>df['normalized_column'] = normalizer.fit_transform(df[['numeric_column']])<br/>Step 2: Model Training<br/>Once the data is preprocessed, the next step is to train the machine learning model. Here’s a basic example using a simple linear regression model:<br/>python<br/>Copy code<br/>from sklearn.model_selection import train_test_split<br/>from sklearn.linear_model import LinearRegression<br/><br/># Split the data into training and testing sets<br/>X = df.drop('target_column', axis=1)<br/>y = df['target_column']<br/>X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)<br/><br/># Train the model<br/>model = LinearRegression()<br/>model.fit(X_train, y_train)<br/><br/>](https://cdn9.hifimov.co/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KJKWBBQSwIyu5L05THzj0AF9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_deploying-machine-learning-models-a-step-by-step-tutorial.webp "Deploying Machine Learning Models: A Step-by-Step Tutorial<br/><br/>Model deployment is the critical phase where trained machine learning models are integrated into practical applications. This process involves setting up the necessary environment, defining how input data is fed into the model, managing the output, and ensuring the model can analyze new data to provide accurate predictions or classifications. Let’s explore the step-by-step process of deploying machine learning models in production.<br/>Step 1: Data Preprocessing<br/>Effective data preprocessing is crucial for the success of any machine learning model. This step involves handling missing values, encoding categorical variables, and normalizing or standardizing numerical features. Here’s how you can achieve this using Python:<br/>Handling Missing Values<br/>Missing values can be dealt with by either imputing them using strategies like mean values or by deleting the rows/columns with missing data.<br/>python<br/>Copy code<br/>import pandas as pd<br/>from sklearn.impute import SimpleImputer<br/><br/># Load your data<br/>df = pd.read_csv('your_data.csv')<br/><br/># Handle missing values<br/>imputer_mean = SimpleImputer(strategy='mean')<br/>df['numeric_column'] = imputer_mean.fit_transform(df[['numeric_column']])<br/>Encoding Categorical Variables<br/>Categorical variables need to be transformed from qualitative data to quantitative data. This can be done using One-Hot Encoding or Label Encoding.<br/>python<br/>Copy code<br/>from sklearn.preprocessing import OneHotEncoder<br/><br/># Encode categorical variables<br/>one_hot_encoder = OneHotEncoder()<br/>encoded_features = one_hot_encoder.fit_transform(df[['categorical_column']]).toarray()<br/>encoded_df = pd.DataFrame(encoded_features, columns=one_hot_encoder.get_feature_names_out(['categorical_column']))<br/>Normalizing and Standardizing Numerical Features<br/>Normalization and standardization transform numerical features to a common scale, which helps in improving the performance and stability of the machine learning model.<br/>Standardization (zero mean, unit variance)<br/>python<br/>Copy code<br/>from sklearn.preprocessing import StandardScaler<br/><br/># Standardization<br/>scaler = StandardScaler()<br/>df['standardized_column'] = scaler.fit_transform(df[['numeric_column']])<br/>Normalization (scaling to a range of [0, 1])<br/>python<br/>Copy code<br/>from sklearn.preprocessing import MinMaxScaler<br/><br/># Normalization<br/>normalizer = MinMaxScaler()<br/>df['normalized_column'] = normalizer.fit_transform(df[['numeric_column']])<br/>Step 2: Model Training<br/>Once the data is preprocessed, the next step is to train the machine learning model. Here’s a basic example using a simple linear regression model:<br/>python<br/>Copy code<br/>from sklearn.model_selection import train_test_split<br/>from sklearn.linear_model import LinearRegression<br/><br/># Split the data into training and testing sets<br/>X = df.drop('target_column', axis=1)<br/>y = df['target_column']<br/>X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)<br/><br/># Train the model<br/>model = LinearRegression()<br/>model.fit(X_train, y_train)<br/><br/>")
_how-to-start-english-from-beginning-in-nepal-fluent-speaking-practice-with-nepali-meanings.webp "ABOUT OUR CHANNEL<br/>Our channel is about English Speaking. We cover lots of cool stuff such as English Speaking.<br/>Check out our channel here:<br/>https://www.youtube.com/educationcrush<br/>https://www.facebook.com/educationcrush<br/>https://www.educationcrush.com/educationcrush<br/>Don't forget to subscribe!<br/><br/>How to improve English Language <br/>How to learn English <br/>learn English easy <br/>english sikene tarika <br/>english janne tarika <br/>इंगलिस सिक्ने तरिका<br/>इन्ग्लिश बोल्ने तरिका <br/>इन्ग्लिश कसरि सिक्ने<br/>English sikne tarika<br/>कसरि सजिलै इन्ग्लिश बोल्ने<br/>Jhyamma Jhyamma Paitali<br/>learning english speaking in nepali<br/>important meaning for english speaking in nepali<br/>funny english speaking in nepali movie<br/>use of would in english speaking in nepali<br/>basic english speaking course chapter 1 in nepali<br/>how to improve english speaking skills in nepali<br/>english speaking practice conversation in nepali<br/>past tense english speaking practice in nepali<br/>english speaking practice app in nepali<br/>how to practice english speaking alone in nepali<br/>rapidex english speaking course in nepali<br/>how to speak english language<br/>how to speak english language<br/>zero बाट english<br/>basic बाट english<br/>सुरुबाट english<br/>learning english in nepali<br/>nepali to english translation<br/>english sentences practice<br/>sote hue english sikhe<br/>nepali to english<br/>learn english sleeping<br/>basic बाट english <br/>zero बाट english <br/>सुरुबाट english<br/>english for beginner in nepal<br/>learning english in nepali<br/>english to nepali english<br/>talking how to talk in english<br/>english language class<br/>english to nepali translation<br/>spoken english practice daily use english sentences<br/>English सिक्न कहाँबाट र कसरी सुरु गर्ने?<br/>अंग्रेजी छिट्टै कसरी सिक्ने?<br/>How to speak in English?अंग्रेजीमा कसरी बोल्ने?<br/>How to ask question in English?अंग्रेजीमा प्रश्न कसरी सोध्ने?<br/>जिरोबाट English Speaking Practice<br/>Basic English Sentences<br/>दैनिक प्रयोग हुने English Sentences<br/>दैनिक बोलिने अंग्रेजी वाक्यहरु<br/>अंग्रेजी सिक्ने<br/>अंग्रेजी सिक्ने सजिलो तरिका<br/>अंग्रेजी नेपाली शब्दकोष<br/>A बाट Z सम्म सबै अंग्रेजी का महत्त्वपूर्ण शब्द<br/>my english practice<br/>english bhasa<br/>sajilo english bhasa<br/>english madam<br/>english to nepali translation<br/>how to speak english language<br/>conversation english speaking nepali<br/>सुरुबाट english<br/>english language class<br/>learning english in nepali<br/>daily use verbs<br/>daily use english words<br/>zero बाट अंग्रेजी बोल्न सिक्नुहोस<br/>#english #learnenglish #vocabulary #englishteacher #ielts #s #learning #grammar #education #love #englishlearning #ingles #language #englishlanguage #englishvocabulary #learn #englishgrammar #englishtips #instagram #ingl #toefl #teacher #learningenglish #studyenglish #englishclass")
How to start English from beginning in Nepal Fluent Speaking Practice with Nepali Meanings बेसिक बाट
⏲ 3:14 👁 15K
_noun-get-down-dvd-sample-2018.webp "The Proud Noun Warrior teaches six different noun types, using a soulful grammar song! This video accompanies Nu School's Digital and printed Illustrated Grammar books (Basic Ed.), which can be previewed for free at: Selz.com.nnTo preview, stream and purchase the Speech Team Revue musical grammar CD, go to: Speech Team Revue CD. You also can buy individual tracks either in (WAV) or (MP3) format.nnWhy not have fun while learning English grammar?")
_how-to-empty-the-trash-using-a-keyboard-shortcut-on-a-mac-basic-tutorial-124-new.webp "How to Empty the Trash Using a Keyboard Shortcut On a Mac - Basic Tutorial | New #TrashCan #MacComputer #ComputerScienceVideos<br/><br/>Social Media:<br/>--------------------------------<br/>Twitter: https://twitter.com/ComputerVideos<br/>Instagram: https://www.instagram.com/computer.science.videos/<br/>YouTube: https://www.youtube.com/c/ComputerScienceVideos<br/><br/>CSV GitHub: https://github.com/ComputerScienceVideos<br/>Personal GitHub: https://github.com/RehanAbdullah<br/>--------------------------------<br/>Contact via e-mail<br/>--------------------------------<br/>Business E-Mail: ComputerScienceVideosBusiness@gmail.com<br/>Personal E-Mail: rehan2209@gmail.com<br/><br/>Support us on PayPal: https://www.paypal.com/paypalme/ComputerScienceVideo<br/><br/>© Computer Science Videos 2021")
_how-to-transfer-files-from-one-mac-to-another-mac-using-airdrop-basic-tutorial-124-new.webp "How to Transfer Files from One Mac to Another Mac Using AirDrop - Basic Tutorial | New #FileTransfer #AirDrop #ComputerScienceVideos<br/><br/>Social Media:<br/>--------------------------------<br/>Twitter: https://twitter.com/ComputerVideos<br/>Instagram: https://www.instagram.com/computer.science.videos/<br/>YouTube: https://www.youtube.com/c/ComputerScienceVideos<br/><br/>CSV GitHub: https://github.com/ComputerScienceVideos<br/>Personal GitHub: https://github.com/RehanAbdullah<br/>--------------------------------<br/>Contact via e-mail<br/>--------------------------------<br/>Business E-Mail: ComputerScienceVideosBusiness@gmail.com<br/>Personal E-Mail: rehan2209@gmail.com<br/><br/>Support us on PayPal: https://www.paypal.com/paypalme/ComputerScienceVideo<br/><br/>© Computer Science Videos 2021")
_ielts-1-listening-test-cc.webp "Ielts Listening Test Audio With Subtitle for the beginer who understands the english at basic level.")
_allah-name-arabic-calligraphy-with-simple-marker-amp-paper-124-artist-all-rounder.webp "️ Allah Name Arabic Calligraphy with Simple Marker and Paper ️<br/><br/>Embark on a serene artistic journey as we bring the divine beauty of Allah's name to life through the art of Arabic calligraphy. In this enchanting video, we explore the elegance of Islamic art using nothing but a simple marker and paper. Whether you're a seasoned calligrapher or a beginner seeking inspiration, this tutorial is designed to guide you through the graceful strokes that form the name of Allah.<br/><br/> Step into the World of Arabic Calligraphy:<br/>Join us as we delve into the mesmerizing world of Arabic calligraphy. Witness the meditative process of transforming basic lines into intricate and harmonious representations of Allah's sacred name.<br/><br/> Simple Tools, Profound Beauty:<br/>Discover the magic that can be created with just a marker and paper. We believe that art is accessible to all, and this tutorial proves that you can create stunning calligraphy with minimal tools.<br/><br/>✨ Spiritual Artistry:<br/>Dive into the spiritual essence of creating art that reflects the divine. Each stroke becomes a meditation, and each curve is a tribute to the beauty of Allah's name. Immerse yourself in the tranquility of this artistic practice.<br/><br/> Learn the Techniques:<br/>This video is not just a showcase; it's a step-by-step guide for both beginners and enthusiasts. Follow along as we break down the techniques behind creating this beautiful Allah name Arabic calligraphy.<br/><br/> Materials Used:<br/><br/>Simple marker<br/>Paper<br/> Subscribe and Stay Inspired:<br/>If you're passionate about art, calligraphy, and the beauty of Arabic script, consider subscribing for more inspiring content. Hit the notification bell to stay updated on our artistic explorations.<br/><br/> Let the ink flow, and may the beauty of Allah's name inspire your creative soul. Create with love, create with intention.<br/><br/>#ArabicCalligraphy #IslamicArt #AllahName #SimpleMarkerArt #ArtistAllRounder")
_cinematic-hero-royalty-free-music.jpg)
_deploying-machine-learning-models-a-step-by-step-tutorial.jpg)
_how-to-start-english-from-beginning-in-nepal-fluent-speaking-practice-with-nepali-meanings.jpg)
_noun-get-down-dvd-sample-2018.jpg)
_how-to-empty-the-trash-using-a-keyboard-shortcut-on-a-mac-basic-tutorial-124-new.jpg)
_how-to-transfer-files-from-one-mac-to-another-mac-using-airdrop-basic-tutorial-124-new.jpg)
_ielts-1-listening-test-cc.jpg)
_allah-name-arabic-calligraphy-with-simple-marker-amp-paper-124-artist-all-rounder.jpg)
![[+]](/images/menu.gif){kind=small}