call out for reading dataset in various other format

-

 


Comments

Post a Comment

Popular posts from this blog

environment creation on python

-
  without conda : D:\Anney\environment>python -m venv magic_venv D:\Anney\environment>.\magic_venv\Scripts\activate (magic_venv) D:\Anney\environment> environment  conda: $ conda create --name [Virtual Environment Name] python=[Version you want to install] Example, $ conda create --name sample_venv python= 3.8  
Read more

Pcb Fault Detection(Deep Learning Technique)

-
  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.
Read more

scatterplot/ violon plot /histogram /boxplot

-
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 (£...
Read more