Mohammed Arifuddin Atif's Projects
Config files for my GitHub profile.
Predicting the bike count required at each hour for the stable supply of rental bikes.
Bitcoin price prediction algorithm using bayesian regression techniques
Performing sentimental analysis on COVID-19 tweets.
This project based on a prediction algorithm which extracts the engagement score of each user on a social media platform.
To solve the challenge of detecting the faces and assess the emotions of the students in a class which would help teachers to tune the lectures accordingly, by applying deep learning algorithms to live video data. The solution to this problem is by recognizing facial emotions.
Explore and analyze the data to discover important factors that govern hotel bookings.
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
work on deep neural networks
Exploring and analyzing the data to discover key factors responsible for app engagement and success.
Building a recommender engine that reviews customer ratings and purchase history to recommend items and improve sales.
Finding the weekly volatility index , pair trading and performing binary classification on S&P 500 dataset.
Increase conversions for customers by providing relevant search query results.
The project is based on a classification model which classifies whether a person dies on the titanic ship or not.