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Go-Language-in-Bengali
Go Language in Bengalibolaram
SEC Mozilla Study GroupMachine-Learning---DiabetesTest
It's a machine learning project based on data set from kaggle dataset website named pima-data.csv.grpc-gateway-GSOC
Sample project for updateing existing documentation of grpc-gatewayUnzip.php
This script lists all of the .zip files in a directory and allows you to unzip. Unlike CPanel's file manager, it _will_ overwrite existing files.videolan-gsoc
website
My Personal websitegRPC-Gateway
The gRPC-Gateway brings the power and safety of designing APIs with Protobuf and gRPC to the JSON/HTTP API world.Creative-Commons-WordPress-Plugin-Documentation
Documentation for Creative Commons WordPress PluginLogistic-Regression-based-OCR
It's a machine learning classification problem. I've used data from sklearn datasets. First, I've load data , split it, checked if the splitting working or not. Then, train and predict the data. The accuracy of this model is 95%. This project is on Logistic Regression based Optical Character Recognition.Uber-Data-Checkpoint-Analysis
I've used free dataset mlink is given below . here are almost 800,000 data here. Firtly we'll review the data and then add some efficient column for analyzation. Then, analyze the Date of Month (DoM) and sorting them gradually. Then plot the weekday and hour and then plot the data in the New York,USA state map. Data set: https://github.com/fivethirtyeight/uber-tlc-foil-response/blob/master/uber-trip-data/uber-raw-data-apr14.csvCOVID-19-Tracking
This COVID-19 graph plots the number of new confirmed cases in the past week, versus the total number of confirmed cases. When plotted in this way, exponential growth is displayed as a straight line. Notice that most countries follow a similar straight line path, indicating that the growth rate is similar across countries. Web:Cross-Sell-Prediction
Here, we are predicting sell growth of a product by spending money in advertising by TV, Radio, Newspaper. Here in the dataset we have 200 rows and 4 columns. We split the data into 70-30%, fit the data, predict the data. And finally calculate the error. In this linear regression model our target is minimize the error as much as possible.Love Open Source and this site? Check out how you can help us