heesha14 Goto Github PK

applied-ai-with-deep-learning-by-ibm-coursera

data_science_for_everyone

drawio

Source to app.diagrams.net

esd

fdm-mini-project

This provides a solution for a classification problem by determining whether the customer is suitable to be approved with a credit card or not and provides another solution using the Market Basket Analysis in order to find out combinations of items that occur together frequently in transactions.

heesha14

My personal repository

heeshajaanvi.github.io

innovative

itp_project_medical_center

Website developed for the ITP Project using Reactjs, Spring Boot and PostgreSQL. This system included functions containing Employee Management, Salary management and other major functions which finally integrate into a full developed website.

madtutorial2

madtutorial3

mlops-specialization-notes

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

paflab

pafproject

This project aims to create a highly scalable web platform for GadgetBadget's stakeholders to communicate with one another. Implement RESTful microservices using Java -JAX-RS (Jersey) on Tomcat with MySQL DB, Postman for testing and SonarLint for code quality checkup.

project

real-estate-prediction

real_estate_model_deployment

Real estate prediction and model deployment using Python Flask.

resatravels

Developed a mobile app using Java and Flutter in order to provide a feasibility for tourists when placing their bookings of hotels, camping and other rides in specific cities.

reviewing-a-pull-request

road-crash-datawarehouse-and-business-intelligence

Prepared the dataset and built a datawarehouse with proper utilisation of SSMS, and SSIS. After deployment of cube, data visualization was performed through SSRS reports using report builder excel and also power BI.

rshiny

Shiny is an R package that makes it easy to build interactive web applications (apps) straight from R. Shiny helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

satechnicalonboarding

tensorflow-in-practise-specialization

Four Courses Specialization Tensorflow in practise Specialization

time-series-prediction

Solve time series and forecasting problems in TensorFlow, Prepare data for time series learning using best practices, Explore how RNNs and ConvNets can be used for predictions, Build a sunspot prediction model using real-world data

userservice