yrnigam Goto Github PK
Name: Yashraj Nigam
Type: User
Company: KPMG India
Bio: Data Science | Machine Learning | Deep Learning | Computer Vision | Business Intelligence | Business Analytics
Twitter: yrnigam
Location: Gurugram
Name: Yashraj Nigam
Type: User
Company: KPMG India
Bio: Data Science | Machine Learning | Deep Learning | Computer Vision | Business Intelligence | Business Analytics
Twitter: yrnigam
Location: Gurugram
Sentiment analysis uses a process to computationally determine whether a piece of writing is positive, negative, neutral, or mixed. Amazon Comprehend is a natural language processing (NLP) text analytics service made up of a handful of APIs that allows you to detect sentiment (along with key phrases, named entities, and language) and perform topic modeling from a collection of documents. In Lexicon-based sentiment analysis we count number of positive and negative words in given text and the larger count will be the sentiment of text.
Using flask API we can request analytical results from app, with JSON request and responds with data according to the conditions in the request deployed over cloud
Buildpack for Conda.
For more info about the project:
In this project we will use machine learning model to predict the type of crop farmer should sow on the basis of factors like season,pH value,temperature,humidity,rainfall,yield,water using KNN Algorithm
Cheat Sheets
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Repository containing Jupyter Notebooks used during the hand-ons session.
Summarize private documents using RAG, LangChain, and LLMs
Face detection using OpenCV library
In this project, we will forecast the indian gold prices using ARIMA model in R programming. Data consist of prices from year 1960 to 2018.
Denoising images by training an image denoising autoencoder using Keras with Tensorflow 2.0 as a backend. Useful in dealing with blur and old images.
In this project we are analysing the Indian school data district wise and we will the try to find causes of different problem faced by students.
This is how you can create your machine learning model API and use your work on different platforms like Android,Web App etc
Named Entity Recognition (NER) using LSTMs with Keras
This project helps in automatically build the Ontology for the text data and generate RDF-triples.
Tutorials and Practice
Learning
"Simple-ATS-Latex-Resume" is a LaTeX template for creating clean, professional resumes. It's optimized for Applicant Tracking Systems (ATS) with sections for contact info, summary, skills, experience, education, and projects. Perfect for job seekers aiming for an effective, visually appealing resume. Use overleaf.com to modify.
Generate email messages using CSV files.
Predicting stock prices using Machine Learning
Here I am uploading tutorials for Tensorflow 2.0 created by me refering Official Documentation
Detecting face face and applying thug life mask.
This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005.
Streaming video with the help of Flask and Opencv
This is just my testing area ,check my portfolio here--> yashrajnigam.tech
In his project we will Analyze Zomato restaurants in Bangalore & Predict the restaueant ratings using Machine Learning
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.