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datasets

datasets I work with

deep_learning_tensorflow

This repository consists of my practice notebooks while learning Tensorflow

energy-forecasting-model

🌀 The Full Stack 7-Steps MLOps Framework - Learn ML Engineering & MLOps for free by designing, implementing, deploying and monitoring your own energy consumption forecaster.

feature-engineering-car-price-

This is a demonstration of what I've learnt in feature engineering and how I used them to build features with better MI scores

hyderabad-air-quality

An exercise to predict air quality in Hyderabad in COVID affected time, from October 2019 to April 2020

marvelite

Marvelite, powered by Marvel API and OpenAI, is a Marvel chatbot that will be able to answer the user's queries regarding Marvel Comics and the MCU, from characters to events to stories and more

marvelite-v2

A new version of Marvelite powered by LangChain, OpenAI, MongoDB and Streamlit, all in a new and improved experience

mnist

One of my first TensorFlow programs, a classification neural network for an MNIST dataset

tumor-detection-transfer-learning

Using Transfer Learning to import an Xception model to analyze brain MRIs and state if tumors are present or not

tumor-detetction-from-brain-mris

A CNN program to analyze brain scan images and determine if a tumor is present or not.

weight-height-ml-experimentation-

Some concepts I've learnt in Scikit-Learn being put to practice on a simple weight-height dataset to build a regression model, from pipelining, to different types of models, from XGBoost to SVMs, to hyperparameter tuning(GridSearch and RandomisedSearch)