Name: Naruke
Type: User
Company: Infineon Technologies
Bio: Kaggle Expert| Reading Books | Writing Technical Blogs| Medium Writer | Senior Machine Learning Engineer
Location: Bengaluru, Karnataka
Blog: https://medium.com/@pathakvishnudutt123
Naruke's Projects
Interactive and Intuitive EDA with Feature Engineering made to Top 15% on Leaderboard using Blended Model
Implementation of densenet from scratch on cifar10 dataset.
Convolutional Neural Networks
Curated list of data science interview questions and answers
Problems from https://datascienceprep.com/
Design Patterns for Machine Learning
Donors Choose Dataset using RandomForrest and XGBboost on BOW,TFIDF,AVG W2V,TFIDF W2V,IDF W2V
Donors Choose Problem Using BOW , Tfidf, Avg w2v , tfidf w2v features in KNN
Using BOW , TFIDF, AVG W2V and TFIDF W2V features and also using truncatedSVD for feature selection
In this I have used various featurization like BOW, TFIDF, AVG W2V , TFIDF W2V and applied model on best features using TFIDF features.
Used k-means , Agglomerative, DBSCAN clustering on top 5k tfidf features.
Implementing Forward-Forward and Forward-Backward Propagation from the scratch