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basics

bigdata

bipm

credit-card-applications

data-science

duplicate-remover

Repository to find Duplicate Images and Similar Images with the help of Python.

fine-grained-vehicle-classification

Final Project for CS 230: Deep Learning

functions-for-product-analysis

google-image-scraper

A library to scrap google images

image-loading-processing-naive-bees

images-preprocessing-for-cnn

kafka-fraud-detector_1

lda-nips-papers

Project Description Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, you will analyze a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning. The techniques used here to handle large amounts of data can be applied to other text datasets as well. Familiarity with Python and pandas is required to complete this Project, as well as experience with Natural Language Processing in Python (sklearn specifically). Project Tasks 1. Loading the NIPS papers 2. Preparing the data for analysis 3. Plotting how machine learning has evolved over time 4. Preprocessing the text data 5. A word cloud to visualize the preprocessed text data 6. Prepare the text for LDA analysis 7. Analysing trends with LDA 8. The future of machine learning

mapreduce

ml-api

Guide on creating an API for serving your ML model

movie_sentiment

Big data project

oop-fundamentals-python

predict-blood-donation

"Blood is the most precious gift that anyone can give to another person — the gift of life." ~ World Health Organization

streamlit