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sneh singh 's Projects

bus-booking-system icon bus-booking-system

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

c icon c

Уроки программирования на Си

car_prizes icon car_prizes

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

credit-card-fraud-detection- icon 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.

deep-learning-keras-tf-tutorial icon deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

music-player icon music-player

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

nlp- icon 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

preprocesing_spark icon preprocesing_spark

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

py icon py

Repository to store sample python programs for python learning

srms icon srms

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

stock_app icon stock_app

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

using-gan-for-fashion icon 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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