Pratap Kumar Chandra's Projects
Regression problem for predicting the Forest Weathe index after getting inputs from the user. For the prediction, we are going to use Elastic Net Regressor in the backend
Implementation of various Algorithms
Getting the successor in the Alien Number System of arbitrary base. This project is under Software Design Practices.
Using the breast cancer prediction dataset from sklearn with Neural Network for appropriate classification
Creating a simple Java project with a few calculator operations and performing build to deployment using DevOps Tools.
It's a well known problem in the field of Natural Language Processing(NLP) where we need to find the Named Entities given in a sentence
Problems from LeetCode, Hackerrank, GeeksForGeeks and InterviewBit
Content Management with Template(CMS) is like Wordpress where we try to maintain the contents with a consistent template
Various OpenCV algorithms used for counting the number of objects and identifying face pixels from a selfie.
Creating a panoramic view using 2 pictures which diides the rigion into different parts
Examples of implementation of various data structure problems. Examples are mostly from the famous Algorithm book by Karunamachi and the implementations have been done in Java.
Config files for my GitHub profile.
Implementation of a multi class Logistic Regression model for the classification problem of Diabetes Detection. End-to-end project with frontend implemented using Flask.
First hands on EDA and Preprocessing on a few data sets. Python Notebook is included. Please use Kaggle or Google Colab for better viewing.
Exploratory Data Analysis of the Wine Quality dataset provided by UCI. This dataset consists of 2 types of wine - Red and White - along with 11 feature variables and a continuous target variable which is the Quality of Wine..
Problems solved from GeeksForGeeks. The problems are mostly under "MUST-DO" coding section for companies.
Problems solved in Hackerrank. The implementations are done in Java
We will build a simple Neural Network model using Tensorflow to predict the digits of the MNIST dataset.
Encoder Decoder Model for Image Captioning
Image classification is well known problem set for Computer Vision. Here we will be using the already known CIFAR10 dataset and will use basic approach of BoVW and VLAD approach
Extracting the Interactive Foreground from the image
Coding problems of InterviewBit. Solved problems from bucket of each topic.
Katacoda Scenarios
Finding the solution to 'x' using Gram Schmidt Orthogonalization and QR Factorization
Problems solved from LeetCode
Assignments for Machine Learning