anikch

Banking-Market-Analysis-using-Scala

Your client, a Portuguese banking institution, ran a marketing campaign to convince potential customers to invest in a bank term deposit scheme. The marketing campaigns were based on phone calls. Often, the same customer was contacted more than once through phone, in order to assess if they would want to subscribe to the bank term deposit or not. You have to perform the marketing analysis of the data generated by this campaign.

Bike-rental-prediction-based-on-env-season

Building a model to predict demand of shared bikes. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels.

Credit-EDA-Case-Study

This case study aims to identify patterns which indicate if a client has difficulty paying their instalments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicants using EDA is the aim of this case study. In other words, the company wants to understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default. The company can utilise this knowledge for its portfolio and risk assessment.

Google-Vision-Data-Extractor

This python code can be used to extract data from Google Vision output. After you process your file for OCR using Google Vision, the generated text extraction can be structured and attributes can be identified by using this code. Please check Read me for the details.

Hand-Gesture-Recognition-system

Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognize five different gestures performed by the user which will help users control the TV without using a remote.

house-price-prediction-Ridge_Lasso

Housing price prediction model using Ridge and Lasso Regression.

Image-denoising-using-convolutional-autoencoder

The objective is to add some noise to the images and then use an Convolutional Autoencoder to denoise them.

Lead-Scoring-Case-Study

Identifying Hot Leads by generating Lead Score for all leads, so that leads having higher Lead Scores can be contacted with priority for achieving Higher Lead Conversion Rate.

RAG-LOTR-Long-Context-Reorder

Advanced RAG using RAG + LOTR + Remove Redundancy + Long Context Reorder

self_RAG

Self-RAG is a new framework to train an arbitrary LM to learn to retrieve, generate, and critique to enhance the factuality and quality of generations, without hurting the versatility of LLMs.

anikch/Credit-EDA-Case-Study

This case study aims to identify patterns which indicate if a client has difficulty paying their instalments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicants using EDA is the aim of this case study. In other words, the company wants to understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default. The company can utilise this knowledge for its portfolio and risk assessment.

anikch/Hand-Gesture-Recognition-system

Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognize five different gestures performed by the user which will help users control the TV without using a remote.

anikch/self_RAG

Self-RAG is a new framework to train an arbitrary LM to learn to retrieve, generate, and critique to enhance the factuality and quality of generations, without hurting the versatility of LLMs.

anikch/Alt_genAI_voicebot

anikch/autogen-rag-multi

anikch/databricks-handson

anikch/Flowise

Drag & drop UI to build your customized LLM flow using LangchainJS

anikch/Indoor-Scene-Recognition

The dataset has a collection of about 15000+ labeled images belonging to 67 categories. I am selecting only below 10 categories ⚰ airport_inside, auditorium, bakery, bathroom, bookstore, casino, church_inside, grocerystore, operating_room, warehouse Objective is to create a model that will able to classify images into these 10 categories.

anikch/RAG-LOTR-Long-Context-Reorder

Advanced RAG using RAG + LOTR + Remove Redundancy + Long Context Reorder

anikch/Anik424

Config files for my GitHub profile.

anikch/asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

anikch/autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

anikch/AutoTS

Automated Time Series Forecasting

anikch/azure-ml

anikch/brain_mri_tumor

anikch/docs

Source code for the Streamlit Python library documentation

anikch/DPO

anikch/Generative-AI-Light-Edition

Generative AI Notebooks that do not need massive instances

anikch/hh-rlhf

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

anikch/keras-ocr

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

anikch/keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

anikch/langchain

anikch/MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

anikch/Many-Models

Implement many models for ML in Azure

anikch/monte_carlo_simulation

anikch/Object-detection-using-Facebook-Detectron-Mask-RCNN

Object detection using Facebook Detectron Mask R-CNN pre-trained model.

anikch/paddy

anikch/SFT-chat-model

anikch/supply-chain-optimization

Supply Chain Optimization

anikch/Text_summarization