deep-pooja

Covid19

In this project, I made an interactive dashboard for covid19 data analysis and also forecasted new cases for India using time series forecasting models like SARIMA and parametric curve fitting

CricML

Data-driven modelling for winner prediction in a cricket match

ExploratoryDataAnalysis-R

In this mini project, I figured out an innovative ways to explore the data with animations in R

fermi-acceleration

Simulation of Oscillating Time-Dependent Billiards

HMM-based-POS-Tagger-

In this project I deployed a POS tagger based on Hidden Markov Model for Hindi language

Human-Activity-Recognition

In this project, I explored this dataset. This is basically a classification problem. I have tried various classical machine learning models like SVM, K-NN, Decision tree, and logistic regression to get state-of-the-art accuracy. Finally, I have also used deep learning models like multilayer perceptron and 1D Conv-net

k-flip-MaxSAT

Neural_net_CNN_Autoencoder

In this project I worked on personalized handwritten datasets as well as standard MNIST dataset. I used deep learning Keras API

Polynomial_Regression

Polynomial Regression using personalized datasets and sci-kit learn library. Particularly focusing on Ridge and Lasso regularization

web-scraping-selenium

In this project, I scraped out a job portal website namely Naukri.com, which is India's number one job site with lots of job openings. I scraped this website for data scientist roles in the Indian market and analyze the data to gain meaning full insights.

support_vector_machine

I this project, I worked with support vector machine algorithm for multi-class classification. For the purpose I use sci-kit learn library and personalized datasets.

Word-frequecy-analysis

In this mini project I did word frequency analysis and letter frequency analysis on Tow Sawyer (by Mark Twain) corpus from ProjectGutenberg. Checked the validity of Zipf's law by plotting log-log plot of frequency vs rank.