Fake News Classifier

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Fake news has a negative impact on individuals and society, hence the detection of fake news is becoming a bigger field of interest for data scientists. Attempts to leverage artificial intelligence technologies particularly machine/deep learning techniques and natural language processing (NLP) to automatically detect fake news and prevent its viral spread.

Intel Images Classification App

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In this project, we will be working on intel images, i.e. images of buildings, forest, street, etc. We will build a convolution neural network and train it on these images. This is a multi-class classification problem and we will use KERAS.

Happiness Ranking Prediction

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In this project we will build a machine learning model using Linear Regression model. we will train and test the model using the happiness index dataset to predict the Happiness Ranking.

Face Detection App Using Streamlit

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Face detection is an artificial intelligence(AI) based computer technology used to find and identify human faces in digital images or video settings. We will understand how streamlit works in this project and we will use Haar cascade to detect faces in a video stream.

Customer Revenue Prediction

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In this project we will be finding if a customer will generate revenue or not for us. We will be building Deep learning model to predict purchase and also build a web app on Django to mount the prediction model and deploy the project on Heroku through Github.

Building A Chat Bot Application Using NLP

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Chatbots are mainly used to provide customer support. Chatbots are very intelligent. In this project we will be creating a Chatbot application using NLP

Black Friday Sales Prediction

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In this project we are predicting the sales to be happened on black Friday using machine learning by understanding the purchasing habits according to age groups, occupation city categories etc. We will build a final machine learning model for prediction of sales.

Bird Species Prediction APP

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In this project, we will create a convolutional neural network that is CNN which will be able to predict a species of a bird. We will use different layers and other hyperparameters for building, training and testing. In This multiclass classification model, we will be using keras for this project.

Core Python

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