bashitalishaikh Goto Github PK

advance-in-eda-using-python

Some New conepts of EDA

arudino

Propeller Clock Using Arduino

assignment

chatbot

chatbot-neural-network

deploymeny-flask-api

Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.[2] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools

dtmf-control-robot

DTMF control ROBO

fake-news-detection

fruitninja-game-python

Fruit-Ninja A clone of the game Fruit Ninja using PyGame To run this game install the individual python modules given in requirements.txt file using pip. You can run this game using the following command on your command prompt or terminal, depending on the version of python installed. python game.py python3 game.py py game.py You only have to move your mouse cursor over the fruit to cut it. The game uses basic physics and the fps of the game is set to 13 which makes it look like the game is continuous. In reality, it is moving pictures and hence the images of the fruits do not move along a continuous path but are displayed on discrete points for a short span of time. Hence the user might face the problem, wherein the fruit is not cut even if the cursor is placed on the image of the fruit. Currently the game only has two fruits to play with.

loan-prediction

Machine learning algorithms use for solving the concept of Loan Prediction in Two ways

machine-learning-notebooks

Machine Learning notebooks for refreshing concepts.

news-classification-by-there-category

News classification based on there category is a project in which the news is category by there headlines as input and machine will predict in which category it must be in. In this project with different vectorizer technique from basic(Count ,Tfi df etc) to advance(Glove,word2vec,etc) technique. Also with that used approx all the Machine Learning Algorithms and Neural Network technique

ocr-text--recoginition-using-python

ocr_tool

OCR (optical character recognition) is the use of technology to distinguish printed or handwritten text characters inside digital images of physical documents, such as a scanned paper document. The basic process of OCR involves examining the text of a document and translating the characters into code that can be used for data processing. OCR is sometimes also referred to as text recognition. OCR systems are made up of a combination of hardware and software that is used to convert physical documents into machine-readable text. Hardware, such as an optical scanner or specialized circuit board is used to copy or read text while software typically handles the advanced processing. Software can also take advantage of artificial intelligence (AI) to implement more advanced methods of intelligent character recognition (ICR), like identifying languages or styles of handwriting.

python

Start with basics

python-graphs-and-understanding-them

resale-of-used-cars

Reselling the cars after particular time of use. With the use of help of different parameters and the machine learning and deep learning algorithms and technique we can make a model or web application for predicting the price of there cars.

sales-forcasting-flaskdeployment

self-balancing-robot

sentimental-analyisis-using-tenserflow-flask

sentimental-analyisis-with-all-machine-learning-algorithums

tabulea-projects-master

Contains all the tabulea projets.which give a proper visualization of data set and give breif knowledge of the values and detailing

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

used-cars-price-prediction-

After using our cars for certain time we want to know the cost of the cars. So for getting the value of the cars with the help of some parameters such as transmission, Tax , fuel types etc. With the help of this parameters and machine learning and deep learning we will get to know the value of Cars