Machine Learning with Python

前往频道在 Telegram

Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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网络:Machine Learning with Python 印度5 035 教育2 428...

📈 Telegram 频道 Machine Learning with Python 的分析概览

频道 Machine Learning with Python (@codeprogrammer) 英语语言赛道中的是活跃参与者。目前社区聚集了 67 833 名订阅者，在教育类别中位列第 2 428，并在印度地区排名第 5 035 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 67 833 名订阅者。

根据 15 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 82，过去 24 小时变化为 13，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 4.40%。内容发布后 24 小时内通常能获得 1.74% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 2 983 次浏览，首日通常累积 1 177 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 5。
主题关注点： 内容集中在 insidead, learning, degree, evaluation, algorithm 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

凭借高频更新（最新数据采集于 16 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为教育类别中的关键影响点。

67 833

订阅者

+1324 小时

+187 天

+8230 天

2 983

帖子浏览量

~ 1 17724 小时

~ 1 70948 小时

4.40%

参与率

~ 4

每日帖子数

Ads index

beta

帖子存档

67 831

👱‍♂️ Creating Face Swaps with Python and OpenCV Step 1: Face Detection

import cv2
def detect_face(image_path):
    # Load the face detection classifier
    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

    # Read and convert the image to grayscale
    image = cv2.imread(image_path)
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # Detect faces in the image
    faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5)

    # Assuming there's only one face in the image, return its coordinates
    if len(faces) == 1:
        return faces[0]
    else:
        return None

Step 2: Swapping Faces

def main():
    # Paths to the input images
    image_path_1 = 'path_to_image1.jpg'
    image_path_2 = 'path_to_image2.jpg'

    # Detect the face in the second image
    face_coords_2 = detect_face(image_path_2)
    if face_coords_2 is None:
        print("No face found in the second image.")
        return

    # Load and resize the source face
    image_1 = cv2.imread(image_path_1)
    face_width, face_height = face_coords_2[2], face_coords_2[3]
    image_1_resized = cv2.resize(image_1, (face_width, face_height))

    # Extract the target face region from the second image
    image_2 = cv2.imread(image_path_2)
    roi = image_2[face_coords_2[1]:face_coords_2[1] + face_height, face_coords_2[0]:face_coords_2[0] + face_width]

    # Flip the target face horizontally
    reflected_roi = cv2.flip(roi, 1)

    # Blend the two faces together
    alpha = 0.7
    blended_image = cv2.addWeighted(image_1_resized, alpha, reflected_roi, 1 - alpha, 0)

    # Replace the target face region with the blended image
    image_2[face_coords_2[1]:face_coords_2[1] + face_height, face_coords_2[0]:face_coords_2[0] + face_width] = blended_image

    # Display the result
    cv2.imshow('Blended Image', image_2)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

if name == "main":
    main()

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👱‍♂️ Creating Face Swaps with Python and OpenCV https://t.me/CodeProgrammer More reaction please ⭐️💐⭐️

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How to Train an Object Detection Model with Keras https://machinelearningmastery.com/how-to-train-an-object-detection-model-with-keras/ https://t.me/CodeProgrammer More reaction please ⭐️💐⭐️

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⚡ Top 100+ Machine Learning Projects for 2023 [with Source Code] In this article, you will find 100+ of the best machine learning projects and ideas that will be useful for both beginners and experienced professionals. 📌Projects: https://www.geeksforgeeks.org/machine-learning-projects/ https://t.me/CodeProgrammer More reaction please ⭐️💐⭐️

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📚 9 must-have Python developer tools. 1. PyCharm IDE 2. Jupyter notebook 3. Keras 4. Pip Package 5. Python Anywhere 6. Scikit-Learn 7. Sphinx 8. Selenium 9. Sublime Text https://t.me/CodeProgrammer More reaction please ⭐️💐⭐️

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🖥 Importing Data from SQL Server to Excel with Multiple Sheets using Python 📝 Source Code: https://github.com/danis111/Importing-Data-from-SQL-Server-to-Excel-with-Multiple-Sheets-using-Python/tree/main https://t.me/CodeProgrammer More reaction please 👌

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This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualization 4- Artificial Intelligence 5- Data Analysis 6- Statistics 7- Deep Learning 8- programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/DataScienceM

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35 Best+FREE Coursera Courses for Data Science and Machine Learning! https://www.mltut.com/best-coursera-courses-for-data-science/

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🖥 8 delightful Python scripts that will brighten your day 8 cool python scripts to brighten up your day . These little gems will add some fun to your programming projects. 1. Speed test 2. Convert photo to cartoon format 3. Site status output 4. Image enhancement 5. Creating a web bot 6. Conversion: Hex to RGB 7. Convert PDF to images 8. Get song lyrics https://t.me/CodeProgrammer

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