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@ADG-VIT
Machine Learning
June 13, 2026 – Present
Diabetic-Retinopathy-Detection-Using-Machine-Learning-Algorithm
December 10, 2021 – December 10, 2021
This is the directory for the diabetic retinopathy detection built under the artificial intelligence project.
View ProjectKyphosis_Dataset_Prediction-
December 12, 2020 – December 12, 2020
Kyphosis dataset analyzed and predictions carried out using two Classifier Algorithm called Decision Tree and Random Forest and achieved accuracy of 76% for Decision Tree and an Accuracy of 96% for Random Forest. The Dataset was small hence the predictions can be much more better if the dataset was more
View ProjectKNN_MODEL_PROJECT_2
December 12, 2020 – December 12, 2020
About Performed data analysis on classified data along with prediction using KNN and also applied Elbow Method in order to find the Accurate value for K and also applied standardization of Data to get much accurate result
View ProjectKNN_MODEL_PROJECT_1
December 12, 2020 – December 12, 2020
Performed data analysis on classified data along with prediction using KNN and also applied Elbow Method in order to find the Accurate value for K and also applied standardization of Data to get much accurate result
View ProjectADVERTISMENT-CLICK-PREDICTION
December 11, 2020 – December 11, 2020
USING THE LOGISTIC REGRESSION ACHIEVED 100% ACCURACY WITH THE TEST DATA AND NORMALIZED OR STANDARDIZED DATA. I HAVE ALSO VISUALIZED DATA TO UNDERSTAND DEPENDENCIES PRECISELY AND CLEAN THE DATA APPROPRIATELY.
View ProjectBREAST-CANCER-DATA-ANALYSIS-AND-DIAGNOSIS-
December 11, 2020 – December 11, 2020
Different Models are created for the Breast Cancer Diagnosis on the basis of the Dataset provided by WISCONSIN, applied different feature scaling and then came up with the model with the feature scaling which diagnosis highly precisely.
View ProjectTITANIC-DATA-VISUALIZATION-AND-PREDICTION
December 11, 2020 – December 11, 2020
The Features of Titanic Dataset is visualized and Predictions are made using the classification algorithm LOGISTIC REGRESSION all the operations were carried out on Google Colab.
View ProjectNETFLIX-RECOMMENDOR-AND-DATA-VISUALIZATION
December 8, 2020 – December 8, 2020
NETFLIX-RECOMMENDOR-AND-DATA-VISUALIZATION — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on Machine Learning, which aligns with the target role. However, the projects are all personal and lack diversity in terms of team collaboration or real-world application beyond basic datasets. The experience section lists a current role as 'Machine Learning' at '@ADG-VIT' but provides no details or skills, making it difficult to assess actual contribution or cultural fit within a professional setting. The overall breadth of skills is limited to basic ML algorithms and Python/Jupyter Notebook.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is 0, and there are no psychometric or English test results to draw conclusions from.