Name: Data_bird
Type: User
Company: @bmhheathcare ,@ advaitsystem
Bio: I am Jiya, eagerly anticipating entering the field of data science. Crazy š about DATA.
Twitter: jiyamary
Location: kerala
Blog: linkedin.com/in/jiya-mary-joseph-a3892a218
Data_bird's Projects
This repository contains a project that leverages natural language processing (NLP) and deep learning techniques to perform sentiment analysis on Amazon Alexa customer reviews.
for testing
Here I am using onehotencoding method for the prediction of used cars.
Here I am using gradient Descend
End to end Deep Learning Project Implementation using MLOps Tool MLflow & DVC with CICD Deployment
Model Creation: Here i am using many technique for handling imbalanced dataset.
I am currently engaged in exploratory data analysis (EDA), which serves to glean insights from the data for both present understanding and informing future predictions using AI algorithms.
These are the projects we start with.......It is my gurudakshina for all my mentors especially for best mentors Dhaval sir..
Here I am using Random Forest for prediction of datasets 'digits'.
Reference from codebasics
This repository contains an implementation of a Long Short-Term Memory (LSTM) model to predict fake news from a given text corpus. The project is developed entirely within a single Jupyter Notebook for ease of understanding and reproducibility.
Here we can compare both gradient descend ..
for study project set up
Config files for my GitHub profile.
The Confluent Kafka Consumer as Cassandra repository offers a Python-based solution to seamlessly transfer data from Apache Kafka topics to Apache Cassandra, facilitating real-time data processing and storage with simplicity and efficiency
This project aims to help consumers estimate laptop prices based on features, addressing the challenge of choosing the right laptop for work, education, or entertainment. The goal is to provide a useful tool for consumers to predict laptop prices more accurately.
Here I am using Logestic Regression on Insurance Data.
to familiar with mlops
This repository contains a project that analyzes sentiment in Amazon Alexa customer reviews using natural language processing (NLP) and deep learning techniques. The project aims to classify sentiments expressed in reviews as positive, negative, or neutral, employing machine learning models such as LSTM networks for accurate classification.
an implementation of a Long Short-Term Memory (LSTM) neural network for next word prediction using a given text corpus.
here
Here i Include the project of Sales Analysis
Personal Finance Management Project
Sales Analysis simple project
Here I am using linear regression for single variable dataset.
This is a small project to familar with Tableu..