In this time series project, you will forecast Walmart sales over time using the powerful, fast, and flexible time series forecasting library Greykite that helps automate time series problems.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
In this deep learning project, you will build a convolutional neural network using MNIST dataset for handwritten digit recognition.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.