In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.
We all at some point in time wished to create our own language as a child! But what if certain words always cooccur with another in a corpus? Thus you can make your own model which will understand which word goes with which one, which words are often coming together etc. This all can be done by building a custom embeddings model which we create in this project
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
In this time series project, you will build a model to predict the stock prices and identify the best time series forecasting model that gives reliable and authentic results for decision making.