- 🔭 Working as a Java Developer. I love exploring and learning something new about tech.
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Skills : Coding, Data Science and ML
- 👯 I am willing to collaborate on projects and hackathons.
- 💬 Ask me about anything, I'm happy to help!
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Name: Sarthak
Type: User
Company: Tata Consultancy Services
Bio: Working as a Java Developer. I love exploring and learning something new about tech. Skills : Coding I Data Science I ML
Twitter: sarthakkmishraa
Location: New Delhi
500 AI Machine learning Deep learning Computer vision NLP Projects with code
:memo: An awesome Data Science repository to learn and apply for real world problems.
Converts Date to ithDay of year
This repository consists of the code samples, assignments, and the curriculum for the Community Classroom complete Data Structures & Algorithms Java bootcamp.
This is a simple demonstration of face detection using the OpenCV library in python (in a few lines of code). Face detection using Haar cascades is a machine learning based approach where a cascade function is trained with a set of input data. OpenCV already contains many pre-trained classifiers for face, eyes, smiles, etc.. We will be using the face classifier.
In this study, face recognition was performed using the face images in the Olivetti data set. Principal components of face images were obtained by PCA. According to three different classification models, accuracy score obtained. Parameter optimization of the best model has been made
The fastai book, published as Jupyter Notebooks
🚀✨ Help beginners to contribute to open source projects
I have built a simple web app that predicts the price of flights based on inputs such as Departure date and time, Source and destination, etc. The model is trained on "Random Forest Regressor" and deployed using "Streamlit" on Heroku. The accuracy of the model was found out to be 95% on the train data and about 80% on the test data.
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
A clone of Google Keep with its original Material Design aesthetics
The aim of this project is to predict the label of the object given the image data using Convolutional Neural Networks(CNN) in Pytorch. The dataset used is CIFAR-10 dataset which is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class.
A visual programing environment for scientific computing with python
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
AI Toolkit for Healthcare Imaging
An amazing PWA which is a solution to foretell the likelihood of being in vicinity of COVID-19
Data analysis and visualization on Polynomial Regression using EA Sports FIFA 19 player roster database.
Repository to store sample python programs for python learning
Deep Learning (with PyTorch)
Problem Statement: The company has products that can be used for hiring assessments. The task is to predict the probability percentage that a client will purchase a product from the features provided in the dataset.
The objective of this program is to analyse Donald Trump's tweets and classify the sentiment as either positive, negative or neutral. I have used the Twitter API to fetch the tweets and TextBlob library for performing the NLP task. It includes tokenisation, removing special character and irrelevant nouns and pronouns(stopwords) and passing the tokens to the sentiment classifer which assigns the tweets polarity of positive, negative and neutral by the values 1, -1 and 0 respectively.
The aim of this project is to analyse the stock market data and predict the stock closing price using Long Short Term Memory(LSTM ) deep learning algorithm and evaluate the accuracy of the model. Also, the trained data is used to predict the stock closing prices for the next 30 days in future.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.