Basic machine learning and deep learning models and datasets
#Projects updated till now
- Classification problem using scikit-learn and KNeighbors approach on iris dataset
- Linear Regression on Combined cycle power plant dataset using Ridge and Lasso
- Classification on Haberman's Survival dataset using Logisitic Regression
- Ridge Linear Regression analysis on Computer hardware dataset to estimate the relative performance of devices as per its specifications.
- Predicting annual income of a person using Support Vector Classification
- Unsupervised Learning using KMeans algorithm on 3D Road n/w dataset
- NLP:Natural Language Processing- classification of 20 news groups from news articles (Text Classification)
- Association Learning: A very simple association learning usage example on a transaction details dataset of a market.
- Dimensionality Reduction examples: PCA / LDA / Kernel PCA
- Deep Learning: Handwriting recognition(Image classification) on MNIST dataset using Keras
- Artificial Neural Network to predict the behaviour of bank's customers
- Convolutional Neural Network to predict different fashion items. (99% accuracy on MNIST digits dataset with this same model)
- Recurrent Neural Network (LSTM) to predict BTC-INR stock prices for the month of April-May 2018
- Stacked Auto Encoder (PyTorch): Movies Recommendation System on dataset provided by movieslens