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_building-wikipedia-content-classification-application-tutorial-part-2.webp "Hello World,nnThis is the second video in a series of two videos in which we are going to build a Flask Wikipedia Content Classification.nnIn this video particularly, we are going to be learning about building a Flask application and using the mode that we trained in the last video in our flask application. nnFinally, after this tutorial, you will have your flask web application up and running. Also, you will have mastered the concepts related to flask, web scraping using bs4, model building in")
⏲ 42 min 36 sec ✓ 27-May-2020
_scikit-learn-crash-course-machine-learning-library-for-python.webp "freeCodeCamp.org")
⏲ 2 hours 9 minutes 22 seconds 👁 157.3K
_scikit-learn-tutorial-124-machine-learning-with-scikit-learn-124-sklearn-124-python-tutorial-124-simplilearn.webp "Simplilearn")
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python Tutorial | Simplilearn
⏲ 44 minutes 39 seconds 👁 170.4K
_how-to-download-trained-model-with-inference-code-and-run-inference.webp "Based on the results of particular run, you can download the trained model.nnIn order to use the model on your local machine, please make sure you have linux terminal. In this example, we are using Ubuntu bash shell installed on Windows PC. nnRun these commands to install necessary packages:na) sudo apt-get install python3 python3-pip python3-scipy python3-dev python3-h5py python3-pillow python3-pandasnb) sudo apt-get install libblas-dev liblapack-devnc) pip3 install tensorflow==0.12.1 keras==1.")
_learning-scikit-learn.webp "Google Cloud Tech")
_scikit-learn-course-machine-learning-in-python-tutorial.webp "freeCodeCamp.org")
_spatial-temporal-prediction-of-climate-change-impacts-using-pyimpute-scikit-learn-and-gdal-matthew-perry.webp "As the field of climate modeling continues to mature, we must anticipate the practical implications of the climatic shifts predicted by these models. In this talk, Ill show how we apply the results of climate change models to predict shifts in agricultural zones across the western US. I will outline the use of the Geospatial Data Abstraction Library (GDAL) and Scikit-Learn (sklearn) to perform supervised classification, training the model using current climatic conditions and predicting the zone")
⏲ 21 min 35 sec ✓ 16-Sep-2014
_machine-learning-full-course-learn-machine-learning-10-hours-124-machine-learning-tutorial-124-edureka.webp "edureka!")
Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka
⏲ 9 hours 38 minutes 32 seconds 👁 1.5M
_learn-core-machine-learning-for-free-124-ultimate-course-for-beginners.webp "Ayush Singh")
⏲ 9 hours 32 minutes 46 seconds 👁 194.5K
_sklearn.webp "SKLEARN from sklearn")
_understanding-pipeline-in-machine-learning-with-scikit-learn-sklearn-pipeline.webp "Dr. Data Science")
⏲ 9 minutes 7 seconds 👁 17.8K
_machine-learning-in-2024-beginner39s-course.webp "freeCodeCamp.org")
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