Rakib H. Hridoy's repositories
AnomalyDetectionInTimeSeriesData-Keras
Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.
ModelServingApplication-Tensorflow-Flask
Tensorflow deep learning model serving using flask. The template is simple as main concern is building the web app. Template making quite easy than serving,it shows all the steps needed to linking the model with our web application.
rakibhhridoy.github.io
personal portfolio and blog site
BigDataAnalysisWithApacheSpark-StockPrice
Often we have to deal with large dataset, handling them with traditional method is quite tedious and time consuming. There's come the distributed method like apache spark. This repo consist distributed analysis of stock price which is quite large dataset.
ClassifyOuterSignals-SpaceSignals
Space signals comes with huge noise in it. For analyzing the signals we have to make sure there is as less noise as possible. Detecting the noise and denoising the signals is quite hard to do. As a Data Science Analytics one should have the capability to handling any kind of dataset.
EasyWayDiveInto-DataScience
Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
ECommerce-BI
Business Intelligent in e-commerce, there are many part of it. This is project that based on e-commerce business analysis, model building, predictions and forecasting.
ExploratoryDataAnalysis-Python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
GoogleITCourse
This is a hands on specialization of Coursera Google IT Support Professional Certifications
ImageProcessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
MachineLearning-FeatureSelection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
MachineLearningWebAppDeploy-Flask
Developing a web app of machine learning model using flask is quite easy. One should have some basic knowledge in web development,not so much but quite a bit. It is just a introductory web app in flask classifying cat vs dog by deep learning model.
SupportVectorMachineIn-Medical
Support vector machine in medical disease detection. Both linear and non-linear data can be fitted in svm through its kernel specialization In medical we focus on precision or recall rather than accuracy.
ADockerImage-Website
Dockerrzing a app,website is quite handy as in different hardware the software act differently. Containerizing a website can be a example of this. Making a docker-image is a must having skills in model deplouing stage in Data Science.
AppliedMachineLearningHousing-Regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
Bioinformatics-GeneticDataScience
This project is based on starting Bioinformatics as a life science student. Initializing a career as a Genetic Data Scientist and Bioinformatician.
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
BuildingCandleStickCharts-Tableau
Tableau provide wide range of Data visualization techniques in various aspect. Effect of Covid19 can be seen in stock price ups-down of big5. Data consist last 18 months daily stock.
Comptia-Linux-XK0-005
Certification preparation of comptia linux+ on udemy
Covid19AnalysisInDashboard-Tableau
Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.
Google-Certification
All my project and course from Google. It contains IT Professional Certification, GCP PC, Networking In Cloud PC, Machine learning on GCP, Big Data hosted by Google on Coursera.
OnGoingStudy
Ongoing research on several projects..
RegularTaskAutomation
Regular file creation, moving staffs and others in python, golang and bash.
SystemsReInstall
System configurations of desktops, servers and other machines. Automate with bash
VisualMachineLearning-YellowBrick
Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.
vosk-api-experiment
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node