Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting da…

personal portfolio and blog site

System configurations of desktops, servers and other machines. Automate with bash

learning golang and rust in the same time to understand core concept and best use cases of respective language Topics Resources

Regular file creation, moving staffs and others in python, golang and bash.

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 wi…

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 …

This is a hands on specialization of Coursera Google IT Support Professional Certifications

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.

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.

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…

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 m…

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 distrib…

This project is based on starting Bioinformatics as a life science student. Initializing a career as a Genetic Data Scientist and Bioinformatician.

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 u…

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 a…

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare item…

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 …

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 processi…

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 …

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 …

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.