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$10 USD / час

surat,

$10 USD / час

Сейчас здесь 8:49 AM

На сайте с июня 12, 2020

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Prit M.

@pritmayani359

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$10 USD / час

surat,

$10 USD / час

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Python | Machine Learning | Data Science

I am Full Stack developer and Python and Machine learning expert, and I convert your design into fully responsive Websites and Apps I'm a python/Django/Flask and Machine Learning developer having over 4 years of experience In backend and frontend development. During this time I have worked with clients from across my country helping them create sites that look great. My Expertise: • HTML5 • CSS3 • Bootstrap • Back-End developer • Machine Learning • Python • Django/Flask Why are you Choosing ME? • Powerful and Friendly Back-end admin panel. • Enhance data to load the App fast. • Afterward support and maintenance. • 100% Search Engine Friendly URL structure and SEF patches applied. • Best security with bug-free codes. NOTE: Contact Me first Before Placing The order

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Элементы портфолио

The diabetes prediction model was designed to analyze medical data such as blood pressure, BMI, age, and other factors, and make predictions about whether an individual is likely to develop diabetes in the future. It was built using a variety of machine-learning techniques and algorithms, such as logistic regression, decision trees, and neural networks.

To build the prediction model, I used a large dataset of medical data from individuals with and without diabetes. I trained and fine-tuned various machine-learning models on this dataset and evaluated their performance using various metrics.

The diabetes prediction model was able to make accurate predictions about the likelihood of an individual developing diabetes based on their medical data. It was able to handle a large volume of data and make predictions in real time, making it a valuable tool for healthcare professionals and individuals looking to prevent or manage diabetes.

Overall, the diabetes prediction model was a challengi

Prediction-Diabetes

As a machine learning engineer, I have had the opportunity to work on a number of projects involving the development of recommendation systems. One such project was a recommendation system for Netflix, which I built for a client.

The Netflix recommendation system was designed to analyze the viewing habits of Netflix users and make personalized recommendations for movies and TV shows based on their interests and preferences. It was built using a variety of machine-learning techniques and algorithms, such as collaborative filtering, matrix factorization, and deep learning.

To build the recommendation system, I used a large dataset of Netflix users and their viewing histories, as well as data on the movies and TV shows available on the platform. I trained and fine-tuned various machine-learning models on this dataset and evaluated their performance using various metrics.

The recommendation system was able to make accurate and personalized recommendations for movies and TV shows based o

Movie-Recommendation-System

A robots.txt file is a text file that is used to instruct web crawlers on how to crawl and index the pages on a website. It is located in the root directory of the website and can be accessed by appending "/robots.txt" to the domain name of the website.

The scraper I built was designed to extract data from the robots.txt files of a large number of websites and analyze the data to gain insights into how different websites were configured for web crawling. The scraper was able to handle websites of any size and complexity and was able to extract data from multiple pages and follow links to related pages to gather more information.

The scraper was built using Python and a number of libraries such as Beautiful Soup and Selenium. It was able to extract data from the robots.txt files and parse the data into a structured format that was easy to analyze. The scraper was also able to handle AJAX and JavaScript-heavy websites and was able to bypass CAPTCHAs to ensure smooth and conti

Robot.txt Image

As an experienced web scraping specialist, I have built a number of scrapers for various websites and platforms. One of my most recent projects was an IMDb scraper, which involved extracting data from the Internet Movie Database (IMDb) website.

The IMDb scraper was built using Python and a number of libraries such as Beautiful Soup and Selenium. It was designed to extract a wide range of data from IMDb, including movie and TV show titles, cast and crew information, ratings, reviews, and more.

The scraper was able to handle websites of any size and complexity and was able to extract data from multiple pages and follow links to related pages to gather more information. It was also able to handle AJAX and JavaScript-heavy websites and was able to bypass CAPTCHAs to ensure smooth and continuous data extraction.

In addition to data extraction, the IMDb scraper also included data cleaning and analysis features to ensure that the collected data was accurate and ready for use. The scraper w

IMDB-Scraper

An Amazon scraper is a tool that can extract data from the Amazon website. The extracted data can include product details, prices, reviews, ratings, and other information.

There are several use cases for Amazon scrapers, such as:

Price comparison: An Amazon scraper can collect data on the prices of products from different sellers on Amazon, which can be helpful to for price comparison purposes.

Product research: An Amazon scraper can be used to collect product data, such as product details, ratings, and reviews, which can be useful for market research and product development.

Competitive analysis: An Amazon scraper can be used to collect data on the performance of competitors' products on Amazon, such as sales, ratings, and reviews.

Data visualization: An Amazon scraper can be used to collect data and create visualizations, such as charts and graphs, to help make sense of the data

Amazon Scraper

I made this Web site for the downloading Youtube video
From the Youtube Web site in this site, In this site, you have to just copy your youtube video link and then web site automatically download your video in High Quality
This is the Source of the site
GitHub:https://github.com/Prit2341/Youtube-Web
And also I upload sample photo of the site

YouTube Video Downloading Web site

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Образование

B.Tech

Indian Institute of Technology,

India

2020 - 2022

(2 года)

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Article Writing

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