Project : Facial Expression Recognition with PyTorch Issue #697 #745
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I have added a Power BI report for Netflix data analysis, including visualizations for various metrics like viewing trends, genre popularity, and user demographics, sentimental analysis.
Added a Readme File.
Added Screenshot & Steps to access and use it.
Added Text Summarization Model.
…disease-classification Added complete project of chicken disease classification
Netflix power bi
Made some changes
Add Content: Pandas Basics
…itcoin-price-prediction Improved bitcoin price prediction
…pattern Readme for darkpattern detection updated
…n-ipynb Create jupyter notebooks for python basics lecture files
Added Movie Genre Classification [Issue No. Niketkumardheeryan#566]
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hey @revanth1718, there are 51 commits ,please create a new PR , as there is lots of confusion because of this.closing this one. |
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Resolves Issue: #697
✔️ Involved training neural networks to accurately classify facial expressions using annotated facial image datasets, models were constructed and trained with PyTorch's deep learning capabilities.
✔️ Project was employed by convolutional neural networks (CNNs).
✔️ The success of the project was gauged through the model's proficiency in accurately identifying expressions on unseen data, with potential applications ranging from emotion-aware interfaces to behavioral analysis in psychology and market research.
I am Participating in GSSOC'24. Please Label this Project as Level 3.