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a-step-wise-approach-to-regression-problems

Regression machine learning problems helps in predicting a continuous target variable. In this repo, a step-wise approach to solving regression was taken. From EDA, data cleaning, preprocessing, featuring selection, feature engineering, selectiong anf tuning of an optimal model.

applied-ml

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

aws-django-deployment

classification_using-logistic-regression-

communitywriterprograms

A list of Developer Community Writer Programs

data-engineering-zoomcamp

Free Data Engineering course!

deeplearningspecialization-aug-2022

Lab notebooks from my coursera deeplearning specialization

fraud_prediction

grover

hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

iv-and-woe-python

This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

keras-image-classificaton

The famous Kaggle cats and dogs datasets was used in training a keras classification model.

kmeans-clustering

In this project, KMeans was used to cluster a CRM dataset by obtaining the exact number of cluster relevant for next strategic business decision. A proper guide to each step taken, the approach and why those decisions were made.

license-plate-detection-and-database-querying

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

mlops-zoomcamp

Free MLOps course from DataTalks.Club

multi-class-classification-using-random-forest-classifier

This is a project on multi-class classification problem using prudential life insurance kaggle dataset. The model was trained with random forest classifier and deployed on Heroku

nlp-with-transformers

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

personal-finance-manager

python-business-analytics

Python solutions to solve practical business problems.

sentiment-analysis-on-covid-19-tweets

A detailed analysis on COVID-19 tweets with proper EDA showing area with most tweets, most mentions and most hashtags used. Spacy and NLTK was also used in preprocessing.

speech-recognition-with-js-ner-with-spacy-and-text-classification-

Utilizing JavaScript Speech to Text Capabilities transcribe speech which is passed to a FlaskAPI that does NER and Text Classification

text-classification-with-lstm

A Zindi Text Classification project

value-based-order-anticipation