AI_gym_assistent

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Pcb Fault Detection(Deep Learning Technique)

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  Hello,  that's how I applied my deep Learning skills to my electronics industry  application Technical except After iterating through many models we find this model to be giving good accuracy and least loss. we used  #yolo  v5 with 4000 epoch. here us the latest update to the dataset. I have gathered data related to pcb fault detection. I have gathered a huge amount of image data. and I have open sourced it via-Kaggle. feel free to explore it.
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lest just create a basic bot operation in python

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scatterplot/ violon plot /histogram /boxplot

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Image
 dataset addresss=[" https://data.gov.uk/dataset/bb3520e6-dd76-46d9-8bdd-86f0a2178be9/organogram-of-staff-roles-salaries/datafile/cb432dfd-a5eb-4eaa-8523-961601d5601b/preview#organogram "] (save dataset as uk_statistic) . uk=pd.read_csv("uk_statistic") .......................boxplot..................................................... x=uk['Salary Cost of Reports (£)'] y=uk['Actual Pay Floor (£)'] plt.boxplot(x) plt.title("UK Sststistics") plt.xlabel('salary cost of Report') plt.ylabel('Actual pay floor') plt.show() .........................................violin plot................................................... x=uk['Salary Cost of Reports (£)'] #y=uk['Actual Pay Floor (£)'] plt.violinplot(x) plt.show ..................................................histogram................................................ title = 'UK Sststistics' plt.figure(figsize=(10,6)) plt.hist(uk['Actual Pay Floor (£...
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