hamed225 Goto Github PK

-machine-learning-on-streaming-data-using-kafka-and-docker

I have completed my first project that machine learning on streaming data using Kafka and Docker. You can check-up my GitHub repository for codes.

10.landing-page-fashion

Landing page design using HTML CSS & JS

2019-ncov

Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus

2020_group07_shinyapp

Shiny: Heatmap of proteomics data

a_b_testing

ab_testing_final_project_udacity

This is a A/B test project from Udacity.

abandittesting

No Regrets: A deep dive comparison of bandits and A/B testing

abstractive-text-summariser-with-nlp

Text Summarization recapitulate the content available in articles, research paper, news, paragraph or a piece of information. Automatic Text Summarization is made possible in Natural Language Processing (NLP) by employing two types of summarization techniques viz., 1) Extractive Summarization and 2) Abstractive Summarization. Extractive summarization generates summary by extracting the verbatim from the original passage whereas Abstractive summarization generates summary either by paraphrasing or by using new words instead of extracting the main points. A comprehensive news article and summary dataset has been chosen from Kaggle and the latter method of summarisation is employed in our coursework which calls for an abstractive modelling approach using sequence to sequence Long Short-Term Memory (LSTM) model. BLEU scoring technique has been used for evaluating the accuracy of the model owing to the extensive usage of the same for many of the models involving Natural Language Processing.

adversarial-test-time-training

Code for the paper: Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training, G. Valvano et al., DART 2021

agribot

Codes for Agribot Project (https://indiarxiv.org/3qp98/)

agriculture-de-decision

airbender

Machine Learning Orchestration with Airflow

algorithmictrading-machinelearning

Deep Learning - Neural network (RNN, LSTM & GRU)

algotrading101

Basic OANDA algorithmic trading system based on momentum strategy.

alphaopt

Bayesian Optimisation of Machine Learning Algorithms

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

apache_airflow_pipeline_postgres_to_s3

are_you_still_using_elbow_method

arima

Simple python example on how to use ARIMA models to analyze and predict time series.

arima-lstm-hybrid-corrcoef-predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

atsaf

Applied Time Series Analysis and Forecasting

author-prediction-using-deep-learning-models

Six different machine learning models to compare performance accuracies of the training, validation and test sets.

automobile_data-analysis

Using Python for exploratory data analysis

aws-machine-learning-university-accelerated-tab

Machine Learning University: Accelerated Tabular Data Class

backtrading-python-binance

Backtesting several trading strategy and rank them according their profit return.

bank_churn_classification_tensorflow_serving

basic-machine-learning

All the basic ml things

bayesian-optimisation

Finding the best parameters for any algorithm

bayesianoptimisation

Code for a Bayesian hyper parameter optimisation algorithm for tuning of ML models

best-readme-template

An awesome README template to jumpstart your projects!