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Artificial-Neural-Network-with-Keras
Machine-Learning-Stanford
AI-supervised-learning-codes
Supervised Learning:face-recognition-project
In this study, face recognition was performed using the face images in the Olivetti data set. The steps for face recognition are as follows: Principal components of face images were obtained by PCA. Adequate number of principal components determined According to three different classification models, accuracy score obtained. According to three different classification models, cross-validation accuracy score were obtained. Parameter optimization of the best model has been made.CSRNet-Crowd-Detection
Sentiment-Analysis-of-tweets-from-Twitter-using-Python
Sentiment analysis and opinion mining is an area that has experienced considerable growth over the last decade. This area of research attempts to determine the feelings, emotions and opinions. To do this, natural language techniques and machine learning algorithms are used. This project discusses the extracted sentiment and opinions of Bill Gates 100 comments and posts in twitter. Why Bill Gates have been chosen? - the answer is simple because nowadays Bill Gates is one of the people who cares about world condition, its improvement, climate changes, people sufferings, makes donations and have many charity organizations. Since Bill Gates intention is good form which most of his recent comments and tweets must be outstanding too where in my project i will check his all 100 comments and tweets to the categories of polarity and subjectivity with visual demonstrations and some charts with percents.QCOM-NP_sdk.Linux
qualcomm_neural_processing_sdk.2.12.0.230626.Linux-AnyCPULove Open Source and this site? Check out how you can help us