In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
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.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
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.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.