Sneh713/web_scraping

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Sneh713/web_scraping

Sneh713

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in this project we create csv file from html file

BUS-BOOKING-SYSTEM

This is Bus Booking System like Red Bus App. on this project I used Python ,DBMS and Tkinter.

music-player

this is simple music player with help of python(tkinter)

sneh

Using-GAN-for-Fashion

This is a group project.The main objective of this project is to perform Classification of dress and generation of new dress. Our project consists of 2 modules, the first being the classification of clothes based on pattern on the dress and the second is the generation of garments

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Data-Analysis-and-Cleaning-

In this notebook having about " data analysis" ( A to Z) using python .

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nlp_intro

this is basic of nlp and nltk

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First_repo_form_terrafomr

this is my first repo created with terraform cloud provider

Sneh713.github.io

Profile of Sneh Singh, using HTML, CSS, Javascript.

email_is_spam_or_ham

this is for cheaking email or text msg is spam or not spam

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computer_vision

this is all about of computer vision

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SRMS

thia is a back-end and front end project . in backend we use python, DBMS. MYSQL and in front end we use TKINTER

python__

basic of python

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CAR_PRIZES

USING THIS APP OR PROJECT WE PREDICT PRICE OF OLD CAR.

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preprocesing_spark

In this notebook, first perform basic preprocessing operation in pyspark and then perfrom LinearRegression Algorithm in pyspark datafram.

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stock_app

this is simple stock price app technology used : streamlit , pandas

Play_tennis_or_not

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machine_learning

this is all about of machine learning algorithm

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NLP-

In this repository , i include a to z about NLP. and with some important project like . Fake_news, Fake_news_using lstm, stock sentiment analysis, cheak email spam or not and at the end english to french translation

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Credit-Card-Fraud-Detection-

This Project On about Credit Cards Transaction, it tells us your transaction is frauds or Genuine. This is a front and Back End Project. IN Back End, using DecisionTreeClassifier() we make a model that fits the model on data. Data are available in Kaggle, In data, we have 5000 rows and 31 columns. In the Front end, we use python(Tkinter), and using Twilio we send messages to users.

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