Data Science|Machine Learning|Deep Learning|Python
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Book_Recommender
May 11, 2020 – May 11, 2020
A basic recommender system to predict n number of books based on collabrative filering technique.
View ProjectOlympics_Dataset_Visuals_Kaggle
May 11, 2020 – May 11, 2020
A visual description of Olympics data from kaggle using Plotly and Seaborn. Also the graphs from plotly are not visible here but they will be present when the code is opened in jupyter notebook.
View ProjectClassification_Models_Hyperparameters_Tuning
May 11, 2020 – May 11, 2020
The main aim behind this project is to compare different Regression and classification models on the given data set and perform hyper parameter tuning using GridSearchCV .The dataset is obtained from kaggle.
View ProjectClustering-Of-Online_Shopping_Customer_Intention
May 11, 2020 – May 11, 2020
Clustering of given Online_Shopping_Customer_Intention data is done using KMeans and Agglomerative Clustering Techniques.
View ProjectPipeline-to-implement-multiple-classifications-models
May 11, 2020 – May 11, 2020
A very useful pipeline code to apply several classifications models on data.
View ProjectCNN_model_Unbalanced_Classes_Problem
May 11, 2020 – May 11, 2020
This data set has noticeably unbalance classes which are binary(0,1) , the aim is to build a CNN model to make predictions.
View ProjectOpenCV_Motion_Detector_Cam
May 11, 2020 – May 11, 2020
A Simple motion detector that is built with the help of OpenCV.
View ProjectDL_Image_Classification_On_Fashion_Images
May 11, 2020 – May 11, 2020
The is inbuilt Dataset in keras containing 60000 train images and 10000 test images, A basic Fully connected Neural Net is built using Keras to make predictions.
View ProjectOpenCV_User_Live_Face_Detection
May 11, 2020 – May 11, 2020
A Simple locking system to detect user face from live feed to grant him access
View ProjectCultural Fit Analysis
The candidate's projects are all personal and primarily focus on core data science algorithms and techniques. While demonstrating initiative, the lack of team projects or diverse technological stacks might indicate a preference for individual work or limited exposure to collaborative development environments. The projects align with the technical aspects of a Data Scientist role but provide limited insight into broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into problem-solving approaches, collaboration, or communication style.