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async-http-requests-tut

Making multiple HTTP requests using Python (synchronous, multiprocessing, multithreading, asyncio)

boston-house-prediction

Used a dataset of house prices with some features including Zen, chas and no of bedrooms, etc to create a model that predicts the price of a new house,It uses the concept.

breast-cancer-detection

This projects or the machine learning model detects breast cancer It helps in getting the count of the malignant and benign cells.We are going to visualize the plot using seaborne library and we split the data into 75 percent training and 25 percent training data set and we use the linear regression model, svm,decision tree and random forest classifier to predict the correct accuracy of the disease

chat-app-using-flask-socketio-and-mongodb

concurrent-programming-in-python

Python, Async, Concurrency, Asyncio, await

eda_on_lending_club_dataset

EDA on Lending Club Dataset

image-download-using-threading-and-multiprocessing

making-multiple-http-requests-using-python

Making multiple HTTP requests using Python (synchronous, multiprocessing, multithreading, asyncio)

ml-prob-using-threading

multiprocessing-parellel-programming-in-python

multithreading-python-parellel-programming

network-congestion-model

In the context of telecommunications industry, one of the most important issues that industry faces is network congestion. It has been shown that congestion, even if for smaller durations, has a negative impact on customer loyalty, especially in price sensitive markets. To solve this problem effectively, it becomes imperative for firms to be able to predict congestion in advance and take proactive actions