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50 Questions on statistics and machine learning - Can you answer?

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50 Questions on Statistics & Machine Learning – Can you answer?

October 31, 2020March 10, 2021 Sunil Ghimire 0 Comments Accuracy, Algorithm, Algorithms, Artificial Intelligence, bias-variance trade-off, binary classification, Cancer Detection, Classification Problem, confusion matrix, continuous variables, convex hull, correlation, Cost, covariance, cross-validation, Data Analysis, Data Science, Data set, Deep Learning, dimension of data, F1-Score:, False alarm rate, Google, Gradient Descent, high variance, Interview Questions, Kmeans clustering, KNN, Lasso regression, likelihood, low bias, Machine Learning, marginal probability, Missing Values, Naive Bayes, PCA, Precision, prior probability, Python, random forest model, Recall, regularization, Ridge regression, Specificity, Statistics, SVM, TIme Series, tree algorithm

We have tried to summarize detailed 50 tricky and insightful questions on statistics and machine learning discussion that should benefit you.

Face Recognition and Detection – AI Project

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Face Recognition with Python and OpenCV

July 29, 2020April 26, 2021 Sunil Ghimire 9 Comments AI project, Artificial Intelligence, Best Artificial Intelligence Project Ideas For FYP, Best Project, Bill gates, C++ compiler, camera, Cmake, Detect face, Detection Algorithm, dlib, Easy to learn, Elon Musk, face detection, face recognition, Face Recognition and Detection - AI Project, face_recognition, NumPy, Opencv, Python, Recognized face, Steve Jobs, Visual Studio Community version, web, web and camera

Hello Guys, we hope you and your family are safe. Today, we have come up with a new python tutorial to build face recognition and detection program as asked by some of the followers on Instagram (@_tech_tutor).