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The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.

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23_December_2022_Ouaftouh_etal_2015_SITA_International_Conference_on_Intelligent_Systems_Theories_and_Applications.pdf
23_December_2022_Ouaftouh_etal_2015_SITA_International_Conference_on_Intelligent_Systems_Theories_and_Applications.pdf
 
 
26_December_22_Saffari_etal_2022_Auto-score_Ordinal_BMC_Medical_Research_Methodology (1).pdf
26_December_22_Saffari_etal_2022_Auto-score_Ordinal_BMC_Medical_Research_Methodology (1).pdf
 
 
28_Dec_2022_user_details_college_company - lets do it.csv
28_Dec_2022_user_details_college_company - lets do it.csv
 
 
31_Dec_2022_user_details_college_company - Sheet2.csv
31_Dec_2022_user_details_college_company - Sheet2.csv
 
 
31_Dec_Jan_01_Profile_Relevance_Scoring_Statistical_Model_User_Details.ipynb
31_Dec_Jan_01_Profile_Relevance_Scoring_Statistical_Model_User_Details.ipynb
 
 
Jan_01_2022_Actual.csv
Jan_01_2022_Actual.csv
 
 
Jan_01_2022_pairplot_user_profile.png
Jan_01_2022_pairplot_user_profile.png
 
 
Jan_01_2023_user_details_college_company - Sheet2.csv
Jan_01_2023_user_details_college_company - Sheet2.csv
 
 
Jan_02_2023_GMM_Model_User_Relevance_Score.ipynb
Jan_02_2023_GMM_Model_User_Relevance_Score.ipynb
 
 
Jan_02_2023_normal_dist_cdf_Profile_Relevance_Scoring_Model.ipynb
Jan_02_2023_normal_dist_cdf_Profile_Relevance_Scoring_Model.ipynb
 
 
Jan_03_2023_Iterative_Semi-Supervised_KMC_Test_Result_03_01_23.csv
Jan_03_2023_Iterative_Semi-Supervised_KMC_Test_Result_03_01_23.csv
 
 
Jan_03_2023_gmm_pairplot_user_profile.png
Jan_03_2023_gmm_pairplot_user_profile.png
 
 
Jan_03_2023_norm_cdf_pairplot_user_profile.png
Jan_03_2023_norm_cdf_pairplot_user_profile.png
 
 
Jan_03_2023_test_v2.csv
Jan_03_2023_test_v2.csv
 
 
Jan_04_2023_smote_target.csv
Jan_04_2023_smote_target.csv
 
 
Jan_04_2023_smote_target_without_model.csv
Jan_04_2023_smote_target_without_model.csv
 
 
Jan_04_2023_tcomb_iterative_impute_normal_dist_cdf.ipynb
Jan_04_2023_tcomb_iterative_impute_normal_dist_cdf.ipynb
 
 
Jan_05_23_Neural_Net_Design.ipynb
Jan_05_23_Neural_Net_Design.ipynb
 
 
Jan_11_2023_user_persona.ipynb
Jan_11_2023_user_persona.ipynb
 
 
Jan_12_2023_user_persona_feature_analysis.ipynb
Jan_12_2023_user_persona_feature_analysis.ipynb
 
 
Jan_13_CTO_missing_feat.txt
Jan_13_CTO_missing_feat.txt
 
 
README.md
README.md
 
 

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user-relevance-scoring-model-improved

Project from 21 December,'22-14 January,'23. It consists models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.

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The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.

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python unsupervised naive-bayes gaussian-mixture-models logistic-regression ensemble-model smote linear-svm random-forest-classifier neural-net iterative-imputer sem-supervised-model normal-distribution-or-gaussian-distribution

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