Abhinav Jangir's repositories
applied-ml
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
AV-Job-a-thon
AV Job-a-thon
awesome-public-datasets
A topic-centric list of HQ open datasets.
cc_segemntation
Develop a customer segmentation to define marketing strategy. The sample dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months.
chatbot
A savage chatbot trained on movie dialogues
chroma
the AI-native open-source embedding database
customer_churn_prediction
Predicting customer churn at a fictitious wireless telecom company and use insights from the model to develop an incentive plan for enticing would-be churners to remain with company.
hackathons_solution
This repo contains the solution code for all of the machine learning hackathons i am participating
im2latex
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
intuitive-deep-learning
A beginner-friendly tutorial to introduce Deep Learning concepts in an intuitive way!
kaggle-solutions
๐ Collection of Kaggle Solutions and Ideas ๐
Linedin-User-profile-Hybrid-Recommendation
Hybrid recommedation for talents
LLM-Finetuning
LLM Finetuning with peft
my_certificate_cv
All my certifications
my_hack
notebook with data
nlp
:memo: This repository recorded my NLP journey.
optimizer-visualization
Visualize Tensorflow's optimizers.
SBA_Paycheck_Protection-Program
The Paycheck Protection Program is a loan designed to provide a direct incentive for small businesses to keep their workers on the payroll during the time of COVID-19.
text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization , using google colab
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).