yrnigam Goto Github PK

amazon-review-for-sentiment-analysis-ml

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.

api-for-data-analytics

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

conda-buildpack

Buildpack for Conda.

credit-risk-loan-eligibility-kaggle

For more info about the project:

crop_sowing_prediction

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

data-science--cheat-sheet

Cheat Sheets

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

dataviz-course

Repository containing Jupyter Notebooks used during the hand-ons session.

documents_summarize_using-rag_langchain-and-llms

Summarize private documents using RAG, LangChain, and LLMs

face-detection

Face detection using OpenCV library

gold-price-prediction-using-arima-in-r

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.

image-denoising-using-autoencoders

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.

indian_school_udise_data_analysis

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.

interview-question-data-science

machinelearningmodelapi

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

Named Entity Recognition (NER) using LSTMs with Keras

ontology-creation-on-unstructured-data-using-nlp

This project helps in automatically build the Ontology for the text data and generate RDF-triples.

pyspark

Tutorials and Practice

roadmap-to-learn-generative-ai-in-2024

Learning

simple-ats-latex-resume

"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.

smart_email_generator

Generate email messages using CSV files.

stock-price-prediction-ml

Predicting stock prices using Machine Learning

tensorflow_2.0

Here I am uploading tutorials for Tensorflow 2.0 created by me refering Official Documentation

thug-life-opencv

Detecting face face and applying thug life mask.

uci_credit_card_default

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.

videostreamingflask

Streaming video with the help of Flask and Opencv

yrnigam.github.io

This is just my testing area ,check my portfolio here--> yashrajnigam.tech

zomato-restaurants-analysis-rating-predictor

In his project we will Analyze Zomato restaurants in Bangalore & Predict the restaueant ratings using Machine Learning