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a-to-z-resources-for-students

✅ Curated list of resources for college students

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

analytics-vidya-hackathron

It was the code written by me for the analytics hackathon. I ranked 161 out of around 1500 +

angular-pwa-qrcode

Angular PWA that generates a QR code of your guest so you can check them in by scanning their code

automated-resume-screening-system

Automated Resume Screening System using Machine Learning (With Dataset)

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

bengali_transliteration

This repository is about converting Bangla text into English text having Bangla pronouncistion.

bwm-ng

caterpillar-tube-pricing

Scripts used for my submission the Kaggle Caterpillar Tube Pricing Competition (https://www.kaggle.com/c/caterpillar-tube-pricing). My final submission scored with a Root Mean Squared Logarithmic Error (RMSLE) of 0.213605 on the private leaderboard which gave me a rank of 50 out of 1323 competitors.

counterfeit-medicines-sales-prediction

he World Health Organization (WHO) is working with International Criminal Police Organization (Interpol) to dislodge the criminal networks raking in billions of dollars from this cynical trade. Despite all these efforts , counterfeit medicine selling rackets don’t seem to stop popping here and there. It has become a challenge to deploy resources to counter these; without spreading them too thin and eventually rendering them ineffective. Government has decided that they should focus on illegal operations of high net worth first instead of trying to control all of them. In order to do that they have collected data which will help them to predict sales figures given an illegal operation's characteristics.

crypto-cyurrency-analysis

demand-forecasting

This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Keras which uses tensorflow to solve the problem.

dimensionality-reduction-based-project

This project i used dimentiomnality reduction K-pca and over sampling to get a peerformance of of .8

django-chatbot

Implementing a simple chat system using chatterbot linked with Django

github

Using Random forest and Grid search

hacker-earth-project

It was a Hackathron with real problem where involving lot of feature extraction

hapiness_pred

Use textblob for text feature extraction, Tf-IDF to predict happiness of customer after service.

homoside-v1

This is a eda of homoside dataset

image-classification-using-svm

This application uses LIBSVM and PIL to perform image classification on a set of images.

image-extraction

Its a bling api based image extraction process by which we can easily create a dataset of image using it

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

kaggle-cat

kaggle-caterpillar

Kaggle competition: Caterpillar Tube Pricing

kaggle-outbrain-click-prediction

kaggle-spooky-author

I am woking on spooky author kaggle project to predict the author without using tf idf and only features.

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

libras

Programa de reconhecimento de gestos de LIBRAS

machine_learning_examples

A collection of machine learning examples and tutorials.

medical-eda

this a eda and simple prediction to see if the patient has visited and completed the doctors meet or not