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aicu_image_classifier

Image classification model in PyTorch to filter poles from non-poles

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

call-transcript

Processing Earnings Call Transcripts of Google and Meta (Facebook) Using Natural Language Processing

chatbot

"OT Framework Chatbot: Leverages LLM OpenAI API to assist OT students in crafting AOTA-standard evaluations, providing real-time feedback for professional compliance."

churrossamosaclassifier

A template to train and deploy your own food models with PyTorch/FastAI. As an example I have built a churros-samosa-classifier.

customer-segmentation

An approach to Customer Segmentation Using ML

data_science_roadmap

Repository to store sample python programs for python learning

day-5-python-part-1-homework

day-6-python-homework-part-2

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

early-stopping-pytorch

Early stopping for PyTorch

earnings_calls_nlp

This repository includes our work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

finding-items-bought-together

Finding items bought together by Python.

frequently_bought_together

ftw4-github-homework-1

FTW4 Projects

git-and-colab-basics

Intro to git and google colab

grammar-of-graphics

handling-categorical-data

imputation-techniques

Fast, efficient code to pull non-null categorical data out, encode it and impute nulls with KNN Impute from fancyimpute library

infographic

Infographic

keras-tuner

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

machinelearning

A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube

market-basket-analysis

ml-approcah-to-leadconversionprediction

An End-to-End Case Study on Machine Learning Approach for Lead Conversion Prediction

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nlp_of_company_earnings

The client wanted to take the Earning Call Transcripts from Finding Alpha and have them analyzed for sentiment and complexity