kumamt
Data Scientist | MSc. in Applied Mathematics | B.Tech in Computer Science | Python | SQL | ML | DL |
Munich, Germany
Pinned Repositories
amitk0693
CNN_MNIST
Training Neural Network to solve classification problem of MNIST Hand Written Digits.
k-Nearest-Neighbor
The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems.
MNIST-Using-Jupyter-Notebook
Classification of MNIST dataset using Jupyter Notebook without and with hidden layer.
Possibilistic-Fuzzy-Neural-Gas
Prototype based vector quantization covers a whole group of algorithms designed for clustering and data compression.
Prototype_Selection
Prototype Selection for Interpretable Classification
Sentiment-Analysis-McDonalds
A sentiment analysis of negative McDonald's reviews.
Time-Series-Analysis-Bitcoin
Time Series analysis using Deep Neural Network
kumamt's Repositories
kumamt/Possibilistic-Fuzzy-Neural-Gas
Prototype based vector quantization covers a whole group of algorithms designed for clustering and data compression.
kumamt/Prototype_Selection
Prototype Selection for Interpretable Classification
kumamt/amitk0693
kumamt/CNN_MNIST
Training Neural Network to solve classification problem of MNIST Hand Written Digits.
kumamt/k-Nearest-Neighbor
The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems.
kumamt/MNIST-Using-Jupyter-Notebook
Classification of MNIST dataset using Jupyter Notebook without and with hidden layer.
kumamt/Sentiment-Analysis-McDonalds
A sentiment analysis of negative McDonald's reviews.
kumamt/Time-Series-Analysis-Bitcoin
Time Series analysis using Deep Neural Network