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adnankhan

automlapi

A simple auto ml web app.

beatflow-ai

cancer-diagnostic-ml

ML models for breast cancer diagnosis using Python and Jupyter Notebook, with scikit-learn.

capstone_demo

Description goes here

coronavision

crowd-counting-project

dash-extensions

enterprice_test

financialcharts

Get a Glimpse of any Stock available in Yahoo finance,

fish_species_predictor

flask_sqldb_restapi

h2ogpt

Join us at H2O.ai to make the world's best open-source GPT with document and image Q&A, 100% private chat, no data leaks, Apache 2.0 https://arxiv.org/pdf/2306.08161.pdf Live Demo: https://gpt.h2o.ai/

level-up-advanced-sql-4311094

This repo is for the Linkedin Learning course: Level Up: Advanced SQL

mjcet-feedback

movieanalysis

moviegenreprediction

Movie Genre Prediction Using Description

mutualfund_equalallocation

Interactive app, which shows the individual mutual funds performance and also how would the performance change if we equally allocate among these different mutaul funds

nextword-predictor-with-mlops-and-django

ML-based Next Word Predictor with MLOps integration using Django framework. Accurately predicts the next word based on input text.

pandemicplotchartjs

predict-future-sales

This Repo is created for the kaggle competition Predict Future Sales.

predicting-customerlifetimevalue

Our client is a major non-life insurance company that wants to evaluate customer life time value based on each customer's demographics and policy information including claim details. The CLV is a profitablity metric the organization has set in terms of a value placed by the company on each customer and can be conceived in two dimensions: the customer`s present Value and potential future Value. It is important for the company to take an optimal decision and implement appropriate action plans. They will be able to do this by accurately predicting the CLV of its customers. An analytical and modelling framework to predict the life time value of each customer is designed.Various statistical and machine learning models were applied to predict the CLV. This is based on the quantitative and qualitative features provided in the dataset.

probabilityinference

projects

My DataScience Projects

pythonchatapp

sentimentanalysis

Sentiment Prediction Web App

shahab-eportfolio

shahabwebapp

sir_model

Interactive Plot of Pandemic on colab

sirmodeldeployment