import cv2 from matplotlib import pyplot as plt # Opening image img = cv2.imread(“image.jpg”) # OpenCV opens images as BRG # but we want it as RGB, We’ll also need a grayscale…
Object detection using ImageAI, all you need to do is Install Python on your computer system Install ImageAI and its dependencies Download the Object Detection model file Run the sample codes (which is as few as 10 lines)…
Unsplash: Unsplash is a stock photography website that created a Figma plugin. It allows you to choose beautiful, royalty-free images submitted by the public community. Palette: This plugin gives you palette colors that…
Import Packages and Build the ML model:- from sklearn.linear_model import LogisticRegression from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split # Load the data Iris_data = load_iris() # Split data Xtrain, Xtest, Ytrain, Ytest…
Web: Requests: https://pypi.org/project/requests/ Django: https://pypi.org/project/Django/ Flask: https://pypi.org/project/Flask/ Twisted: https://twistedmatrix.com/trac/ BeautifulSoup: https://pypi.org/project/beautifulsoup4/ Selenium: https://selenium-python.readthedocs.io/ Data science: Numpy: https://numpy.org/ Pandas: https://pandas.pydata.org/ Matplotlib: https://matplotlib.org/ Nltk: https://www.nltk.org/ Opencv: https://selenium-python.readthedocs.io/ Machine Learning: Tensorflow: https://www.tensorflow.org/ Keras: https://keras.io/ PyTorch: https://pytorch.org/…
Check whether Python is already installed Chances are Python is already installed on your hosted Linux server. If you’re unsure, follow these easy steps: 1. Run the following from your ssh terminal: $…
What is the Naive Bayes algorithm? It is a classification technique based on Bayes’ Theorem with an assumption of independence among predictors. In simple terms, a Naive Bayes classifier assumes that the presence of a particular…
What is a Decision tree algorithm? The decision tree Algorithm belongs to the family of supervised machine learning algorithms. It can be used for both a classification problem as well as for regression problem….
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1. Title Tags <title> Your title foes here</title> 2. Meta description tag <meta name=’description’ content=’your description goes here’> 3. Heading <h1>…