Pinned Repositories
Battleship-OOPs
Battleship game based on OOP
BlackFriday-prediction
Predict how much the customer is going to spend money on next Black Friday by analyzing Black Friday's purchase history.
Dog-Breed-Classification
the Dog Breed Classifier based on CNN, which can identify the breed of the dog if the dog is detected in the image and also can detect the human face if it is there in the image.
generate-celeb-faces-DCGAN
DCGAN :- Deep Convolutional Generative Adversial Network to generate celeb faces
IBM-Capstone-Project
Submission of a Data science IBM Professional Capstone
Local-Recommendation-System
It will recommend you songs saved in your local files.
mailorder-service-datascience
This Data Science case study is based on the real-life project given by Bertelsmann/Arvato Financial Services located in Germany and Udacity as a capstone project of a Data Science Nano Degree. This project is also about Unsupervised learning and customer segmentation.
mysite
First Django Small Project
SeinfeldChronicles-tv-script-generator
Natural Language Processing (NLP) based and trained on RNNs(LSTM) will be powerful enough to generate a fake TV script on Seinfield American TV series. Building a Seinfeld TV scripts AI generator using RNNs.
Sentimental-Analysis-pytorch-sagemaker
The project is to get familiar with Sagemaker functionalities and how can we deploy trained Machine learning models on Sagemaker.
EagleDangar's Repositories
EagleDangar/Local-Recommendation-System
It will recommend you songs saved in your local files.
EagleDangar/IBM-Capstone-Project
Submission of a Data science IBM Professional Capstone
EagleDangar/Battleship-OOPs
Battleship game based on OOP
EagleDangar/BlackFriday-prediction
Predict how much the customer is going to spend money on next Black Friday by analyzing Black Friday's purchase history.
EagleDangar/Dog-Breed-Classification
the Dog Breed Classifier based on CNN, which can identify the breed of the dog if the dog is detected in the image and also can detect the human face if it is there in the image.
EagleDangar/generate-celeb-faces-DCGAN
DCGAN :- Deep Convolutional Generative Adversial Network to generate celeb faces
EagleDangar/mailorder-service-datascience
This Data Science case study is based on the real-life project given by Bertelsmann/Arvato Financial Services located in Germany and Udacity as a capstone project of a Data Science Nano Degree. This project is also about Unsupervised learning and customer segmentation.
EagleDangar/SeinfeldChronicles-tv-script-generator
Natural Language Processing (NLP) based and trained on RNNs(LSTM) will be powerful enough to generate a fake TV script on Seinfield American TV series. Building a Seinfeld TV scripts AI generator using RNNs.
EagleDangar/Sentimental-Analysis-pytorch-sagemaker
The project is to get familiar with Sagemaker functionalities and how can we deploy trained Machine learning models on Sagemaker.
EagleDangar/BikeSharingPredictionNN
Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues. Apart from interesting real world applications of bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research. Opposed to other transport services such as bus or subway, the duration of travel, departure and arrival position is explicitly recorded in these systems. This feature turns bike sharing system into a virtual sensor network that can be used for sensing mobility in the city. Hence, it is expected that most of important events in the city could be detected via monitoring these data.
EagleDangar/complete-guide-to-elasticsearch
Contains all of the queries used within the Complete Guide to Elasticsearch course.
EagleDangar/Data-Science-Interview-Questions
EagleDangar/deep-learning-specialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
EagleDangar/Deep-Portfolio-Theory
Deep Learning framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
EagleDangar/DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
EagleDangar/Disaster-Response-Model
EagleDangar/dockerflaskapp
EagleDangar/Donalytics_testing
Only four charts for testing
EagleDangar/donation_analytics_for_saving
EagleDangar/EagleDangar
Config files for my GitHub profile.
EagleDangar/faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
EagleDangar/google-compute-engine-selenium
EagleDangar/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
EagleDangar/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
EagleDangar/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
EagleDangar/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
EagleDangar/Recommendations-with-IBM
EagleDangar/socket_learning
Using Socket.IO to send real time status of background process
EagleDangar/stackoverflow
Findings from Stackoverflow 2017
EagleDangar/Surprise
A Python scikit for building and analyzing recommender systems